Triple
T12510423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Dushku |
E299060
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | True Lies (film) |
E95769
|
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: True Lies (film) | Statement: [Eliza Dushku, notableWork, True Lies (film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: True Lies (film) Context triple: [Eliza Dushku, notableWork, True Lies (film)]
-
A.
True Lies
chosen
True Lies is a 1994 action-comedy film directed by James Cameron, starring Arnold Schwarzenegger as a secret agent leading a double life.
-
B.
Hollywood Liar
"Hollywood Liar" is a song featured on the album *Inside Story*, likely characterized by themes of deception and the darker side of fame.
-
C.
The Last Seduction
The Last Seduction is a 1994 neo-noir thriller film best known for Linda Fiorentino’s acclaimed performance as a manipulative femme fatale.
-
D.
Fatal Attraction
Fatal Attraction is a 1987 psychological thriller film about a married man's affair that spirals into violent obsession, starring Michael Douglas and Glenn Close.
-
E.
Liar Liar
Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557243788190854208113600324e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.