Triple
T2834948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EGOT winner |
E62325
|
entity |
| Predicate | requiresMinimumCountOfDistinctAwards |
P3160
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [EGOT winner, requiresMinimumCountOfDistinctAwards, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresMinimumCountOfDistinctAwards Context triple: [EGOT winner, requiresMinimumCountOfDistinctAwards, 4]
-
A.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
-
B.
numberOfAwards
chosen
Indicates the total count of awards that have been received by an entity.
-
C.
maximumAwardsToSamePerson
Indicates the maximum number of awards that can be given to the same person within the defined context or system.
-
D.
hasMultipleMedalsPerYear
Indicates that an entity has been awarded more than one medal within the same calendar year.
-
E.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.