Triple
T3445964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Bain |
E72678
|
entity |
| Predicate | numberOfPrimetimeEmmyAwardsForMissionImpossible |
P48853
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Barbara Bain, numberOfPrimetimeEmmyAwardsForMissionImpossible, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrimetimeEmmyAwardsForMissionImpossible Context triple: [Barbara Bain, numberOfPrimetimeEmmyAwardsForMissionImpossible, 3]
-
A.
numberOfPrimetimeEmmysForTheSopranos
Indicates the count of Primetime Emmy Awards that the TV series "The Sopranos" has received.
-
B.
emmyAwardsCount
Indicates the number of Emmy Awards that an entity has received.
-
C.
numberOfPrimetimeEmmyAwardsForEntourage
Indicates the total count of Primetime Emmy Awards that the TV show "Entourage" has received.
-
D.
emmyAwardFor
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
-
E.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
- F. None of above. chosen
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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2cc3048190ab1385699387df8d |
completed | March 8, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:16 p.m.