Triple
T15716705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeliza-Rose |
E380979
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jeliza-Rose |
E380979
|
NE FINISHED |
How this triple was built (2 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 | Statement: [Jeliza-Rose, givenName, Jeliza-Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeliza-Rose Context triple: [Jeliza-Rose, givenName, Jeliza-Rose]
-
A.
Jeliza-Rose
chosen
Jeliza-Rose is the imaginative and psychologically fragile young girl at the center of the dark fantasy film "Tideland," through whose perspective the story’s surreal and unsettling events unfold.
-
B.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
-
C.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
D.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
E.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7583609c8190a80421fce649900f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.