Triple
T21619561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piranha 3D |
E533539
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Elisabeth Shue |
—
|
NE NERFINISHED |
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: Elisabeth Shue | Statement: [Piranha 3D, castMember, Elisabeth Shue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisabeth Shue Context triple: [Piranha 3D, castMember, Elisabeth Shue]
-
A.
Elisabeth Shue
chosen
Elisabeth Shue is an American actress known for her roles in films such as "The Karate Kid," "Adventures in Babysitting," and "Leaving Las Vegas," for which she received an Academy Award nomination.
-
B.
Karen Kline
Karen Kline is an American psychotherapist best known as the longtime spouse of Academy Award–winning actress Linda Hunt.
-
C.
Kelly Rutherford
Kelly Rutherford is an American actress best known for her roles on television series such as "Melrose Place" and "Gossip Girl."
-
D.
Deborah Rush
Deborah Rush is an American actress known for her character roles in film, television, and theater, including appearances in comedies and independent productions.
-
E.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bad094c8190879d4aef7988254a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.