Triple
T37106966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for "Moonstruck" |
E918867
|
entity |
| Predicate | notableCoNomineeAtCeremony |
P205732
|
FINISHED |
| Object | Sean Connery |
E82626
|
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: Sean Connery | Statement: [Academy Award for Best Supporting Actor for "Moonstruck", notableCoNomineeAtCeremony, Sean Connery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCoNomineeAtCeremony Context triple: [Academy Award for Best Supporting Actor for "Moonstruck", notableCoNomineeAtCeremony, Sean Connery]
-
A.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
B.
notableHolderAwardedTo
Indicates that a notable award or honor has been conferred upon a particular recipient.
-
C.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
D.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
E.
notableCeremony
Indicates that an entity is associated with a significant or distinguished ceremony, event, or formal observance.
- F. None of above. chosen
Provenance (5 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3efdd9b70481908a7d5a07059bcd22 |
completed | June 26, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.