Triple
T11869962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Hanna |
E282380
|
entity |
| Predicate | numberOfAcademyAwardsWonForTomAndJerry |
P25589
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [William Hanna, numberOfAcademyAwardsWonForTomAndJerry, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAcademyAwardsWonForTomAndJerry Context triple: [William Hanna, numberOfAcademyAwardsWonForTomAndJerry, 7]
-
A.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
B.
academyAwardWins
chosen
Indicates that one entity has won a specified number of Academy Awards (Oscars) or that a winning relationship exists between the entity and the Academy Award.
-
C.
tonyNominationsCount
Indicates the number of Tony Award nominations an entity has received.
-
D.
numberOfTonyAwards
Indicates the total count of Tony Awards that an entity has received.
-
E.
numberOfEmmyNominations
Indicates the total count of Emmy Award nominations received by an entity.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73c04e4819084c0b2ff8e5d2f04 |
completed | April 10, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69d8a2589f0c8190ad82ff11acabae93 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.