Triple
T14129204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbie Cornish |
E340116
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Abbie |
E627746
|
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: Abbie | Statement: [Abbie Cornish, givenName, Abbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbie Context triple: [Abbie Cornish, givenName, Abbie]
-
A.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
B.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
-
C.
Abby
Abby is a central character in the stage play "The Late Christopher Bean," around whom much of the drama and moral conflict revolves.
-
D.
Abby
chosen
Abby is a feminine given name, often used as a diminutive of Abigail and popular in English-speaking countries.
-
E.
Abby Day
Abby Day is a recurring character on the television series "New Girl," known as Jessica Day’s unpredictable and free-spirited sister.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e2b0248190ba40aa8395355052 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:23 p.m.