Triple
T13190756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Dorsett |
E313977
|
entity |
| Predicate | nflTeamsYears |
P8422
|
FINISHED |
| Object | Dallas Cowboys 1977–1987 |
—
|
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: Dallas Cowboys 1977–1987 | Statement: [Tony Dorsett, nflTeamsYears, Dallas Cowboys 1977–1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflTeamsYears Context triple: [Tony Dorsett, nflTeamsYears, Dallas Cowboys 1977–1987]
-
A.
nflTeamSeasons
Indicates the relationship between an NFL team and the specific seasons in which that team participated or had an official campaign.
-
B.
NFLAllDecadeTeam
Indicates that a player was selected to the National Football League’s official All-Decade Team for a given ten-year period, recognizing them as one of the best at their position during that decade.
-
C.
nflTeamTenure
chosen
Indicates the period of time that an individual was a member of a specific NFL team.
-
D.
team2FirstNFLSeason
Indicates the first NFL season in which the second team participated or existed.
-
E.
yearsWithTeam
Indicates the number of years an entity (typically a person) has been associated with or part of a particular team.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.