Triple
T14653454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaving Las Vegas |
E344048
|
entity |
| Predicate | baftaWin |
P30075
|
FINISHED |
| Object | Best Actor in a Leading Role (Nicolas Cage) |
—
|
LITERAL 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: Best Actor in a Leading Role (Nicolas Cage) | Statement: [Leaving Las Vegas, baftaWin, Best Actor in a Leading Role (Nicolas Cage)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baftaWin Context triple: [Leaving Las Vegas, baftaWin, Best Actor in a Leading Role (Nicolas Cage)]
-
A.
baftaAward
chosen
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
B.
tonyAwardsWonFor
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
C.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
-
D.
goldenGlobeAwardFor
Indicates that an entity has received a Golden Globe Award for a specified work, role, or achievement.
-
E.
bestActorWinner
Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
- F. None of above.
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.