Triple
T10218324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom McHale (American football) |
E242504
|
entity |
| Predicate | numberOfNFLSeasons |
P63230
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Tom McHale (American football), numberOfNFLSeasons, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNFLSeasons Context triple: [Tom McHale (American football), numberOfNFLSeasons, 7]
-
A.
nflSeasonsPlayed
chosen
Indicates the number of seasons an individual has played in the NFL.
-
B.
NFLChampionshipsWon
Indicates the number of NFL championship titles that an entity (typically a team or franchise) has won.
-
C.
nflTeamSeasons
Indicates the relationship between an NFL team and the specific seasons in which that team participated or had an official campaign.
-
D.
ProBowlSeason
Indicates that a player was selected to participate in the Pro Bowl during a specific season.
-
E.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6fcf6c81908a589585bbd48ab8 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:07 a.m.