Triple
T31133242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture for Capote |
E793566
|
entity |
| Predicate | notableAssociatedAward |
P52169
|
FINISHED |
| Object | Academy Award for Best Actor for Philip Seymour Hoffman |
E1908069
|
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: Academy Award for Best Actor for Philip Seymour Hoffman | Statement: [Academy Award for Best Picture for Capote, notableAssociatedAward, Academy Award for Best Actor for Philip Seymour Hoffman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAssociatedAward Context triple: [Academy Award for Best Picture for Capote, notableAssociatedAward, Academy Award for Best Actor for Philip Seymour Hoffman]
-
A.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
B.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
C.
notableAwardOrHonor
Indicates that an entity has received a specific notable award or honor.
-
D.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
E.
notableSimilarAward
chosen
Indicates that two awards are distinct but recognized as being notably similar in nature, purpose, or prestige.
- F. None of above.
Provenance (4 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2938c9833c8190a2abda95b2721776 |
completed | June 10, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:05 p.m.