Triple
T10301514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pink Panther 2 |
E241641
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Nicole Durant |
E268603
|
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: Nicole Durant | Statement: [The Pink Panther 2, character, Nicole Durant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Durant Context triple: [The Pink Panther 2, character, Nicole Durant]
-
A.
Nicole Durant
chosen
Nicole Durant is a supporting character in the 2006 comedy film "The Pink Panther," involved in the mystery surrounding the famous diamond theft.
-
B.
Nicolette Robinson
Nicolette Robinson is an American actress and singer known for her work on television and Broadway, including starring in the musical "Waitress."
-
C.
Nicole Lyn
Nicole Lyn is a Canadian actress best known for her work in television series such as "Student Bodies" and various film and voice roles.
-
D.
Nicole Glor
Nicole Glor is a fitness instructor, author, and media personality known for her workout programs and marriage to journalist Jeff Glor.
-
E.
Nicole D'Ovidio
Nicole D'Ovidio is a screenwriter best known for crafting the story for the 2013 thriller film "The Call."
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30716d8819085e25a78e6af3b9d |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d66ae248190b8af31b032f9f857 |
completed | April 10, 2026, 2:47 p.m. |
Created at: April 6, 2026, 11:44 a.m.