Triple
T6366423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arian Foster |
E143239
|
entity |
| Predicate | receptionsInSeason |
P70225
|
FINISHED |
| Object | 66 (2010) |
—
|
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: 66 (2010) | Statement: [Arian Foster, receptionsInSeason, 66 (2010)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receptionsInSeason Context triple: [Arian Foster, receptionsInSeason, 66 (2010)]
-
A.
receptions
Indicates that one entity formally receives, welcomes, or hosts another entity, often in a social, ceremonial, or official context.
-
B.
returnedForSeason
Indicates that an entity has come back or been brought back for a particular season or seasonal period.
-
C.
occurredInSeason
Indicates that an event or occurrence took place during a specific season within a temporal sequence (such as a TV show season or sports season).
-
D.
typicalNumberOfMeetingsPerSeason
Indicates the usual or average count of meetings that occur within a single season.
-
E.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:32 p.m.