Triple
T15815402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodelle Ferland |
E383462
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Jeliza-Rose in Tideland
Jeliza-Rose in Tideland is the young, imaginative protagonist of Terry Gilliam’s dark fantasy film, navigating a surreal and disturbing rural world through elaborate fantasies.
|
E1178361
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jeliza-Rose in Tideland | Statement: [Jodelle Ferland, portrayed, Jeliza-Rose in Tideland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeliza-Rose in Tideland Context triple: [Jodelle Ferland, portrayed, Jeliza-Rose in Tideland]
-
A.
Lila
Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
-
B.
Lila
Lila is the daughter of French actress Virginie Ledoyen.
-
C.
Lila
Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
-
D.
Lila
Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
-
E.
Lulie
Lulie is a character in Norman Mailer’s novel "Barbary Shore," serving as part of the book’s psychologically complex and politically charged cast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeliza-Rose in Tideland Triple: [Jodelle Ferland, portrayed, Jeliza-Rose in Tideland]
Generated description
Jeliza-Rose in Tideland is the young, imaginative protagonist of Terry Gilliam’s dark fantasy film, navigating a surreal and disturbing rural world through elaborate fantasies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeliza-Rose in Tideland Target entity description: Jeliza-Rose in Tideland is the young, imaginative protagonist of Terry Gilliam’s dark fantasy film, navigating a surreal and disturbing rural world through elaborate fantasies.
-
A.
Lila
Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
-
B.
Lila
Lila is the daughter of French actress Virginie Ledoyen.
-
C.
Lila
Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
-
D.
Lila
Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
-
E.
Lulie
Lulie is a character in Norman Mailer’s novel "Barbary Shore," serving as part of the book’s psychologically complex and politically charged cast.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a219508190b8588120ec415ac7 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99959f048190ae24a072387ec233 |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9ad6b29081909ff2abb2c4d866a4 |
completed | May 9, 2026, 8:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b443280819088dbf18f7c57406b |
completed | May 9, 2026, 8:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.