Triple
T16198189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Hickey |
E393122
|
entity |
| Predicate | appearsInSeasonCount |
P2652
|
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: [Earl Hickey, appearsInSeasonCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInSeasonCount Context triple: [Earl Hickey, appearsInSeasonCount, 4]
-
A.
playedInSeason
Indicates that an entity (such as a player or participant) took part in or was active during a specific season.
-
B.
playsInSeason
Indicates that an entity participates or performs in a specific season of an ongoing series, competition, or event.
-
C.
depictedInSeason
Indicates that something (such as a character, event, or object) appears or is shown within a particular season of a series or show.
-
D.
numberOfSeasons
chosen
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
E.
isMultiSeasonParticipantOf
Indicates that an entity has participated in the related entity across multiple seasons or iterations.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.