Triple
T4441001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Lies |
E95769
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tia Carrere |
E346285
|
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: Tia Carrere | Statement: [True Lies, starring, Tia Carrere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tia Carrere Context triple: [True Lies, starring, Tia Carrere]
-
A.
Tia Carrere
chosen
Tia Carrere is a Hawaiian-born American actress, singer, and former model best known for her roles in "Wayne's World," "True Lies," and various voice performances in animated films and series.
-
B.
Lola Ray Facinelli
Lola Ray Facinelli is the daughter of American actor Peter Facinelli.
-
C.
Tara Reid
Tara Reid is an American actress best known for her roles in films like "American Pie" and "The Big Lebowski," as well as the "Sharknado" television movie series.
-
D.
Shannen Doherty
Shannen Doherty is an American actress best known for her prominent roles in popular 1990s television series, including "Beverly Hills, 90210" and "Charmed."
-
E.
Jennifer Beals
Jennifer Beals is an American actress best known for her breakout role in the film "Flashdance" and her extensive work in both film and television.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.