Triple
T5239418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derrick Thomas |
E118301
|
entity |
| Predicate | nflTeamSeasons |
P62326
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Derrick Thomas, nflTeamSeasons, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflTeamSeasons Context triple: [Derrick Thomas, nflTeamSeasons, 1989]
-
A.
nflTeamTenure
Indicates the period of time that an individual was a member of a specific NFL team.
-
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.
NFLTeam
Indicates a relationship where an entity is identified as a professional American football team that competes in the National Football League.
-
D.
nflTeamState
Indicates the U.S. state in which an NFL team is based or associated.
-
E.
team2FirstNFLSeason
Indicates the first NFL season in which the second team participated or existed.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b290b88819095bc99c234260d25 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79e9d794819097bb628c603d14af |
completed | March 20, 2026, 4:46 p.m. |
Created at: March 20, 2026, 1:49 p.m.