Triple
T13699479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Stone III |
E328479
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lila & Eve
Lila & Eve is a 2015 crime thriller film starring Viola Davis and Jennifer Lopez as grieving mothers who turn vigilante to seek justice for their murdered children.
|
E1056032
|
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: Lila & Eve | Statement: [Charles Stone III, notableWork, Lila & Eve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lila & Eve Context triple: [Charles Stone III, notableWork, Lila & Eve]
-
A.
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.
-
B.
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.
-
C.
Lila
Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
-
D.
Lila
Lila is the daughter of French actress Virginie Ledoyen.
-
E.
Coed Eva
Coed Eva is a residential suburb of Cwmbran in Torfaen, South Wales, known for its housing estates, local schools, and community amenities.
- 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: Lila & Eve Triple: [Charles Stone III, notableWork, Lila & Eve]
Generated description
Lila & Eve is a 2015 crime thriller film starring Viola Davis and Jennifer Lopez as grieving mothers who turn vigilante to seek justice for their murdered children.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lila & Eve Target entity description: Lila & Eve is a 2015 crime thriller film starring Viola Davis and Jennifer Lopez as grieving mothers who turn vigilante to seek justice for their murdered children.
-
A.
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.
-
B.
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.
-
C.
Lila
Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
-
D.
Lila
Lila is the daughter of French actress Virginie Ledoyen.
-
E.
Coed Eva
Coed Eva is a residential suburb of Cwmbran in Torfaen, South Wales, known for its housing estates, local schools, and community amenities.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794559e9c81909ef8a6d9b9f480b3 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f798aab9c48190acaa78864e89411f |
completed | May 3, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79943e4f4819098fa82cb6a32e08a |
completed | May 3, 2026, 6:51 p.m. |
Created at: April 9, 2026, 9:54 p.m.