Triple
T36827885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Langer |
E910056
|
entity |
| Predicate | playedYearsForTeam |
P40869
|
FINISHED |
| Object | Miami Dolphins 1970–1979 |
—
|
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: Miami Dolphins 1970–1979 | Statement: [Jim Langer, playedYearsForTeam, Miami Dolphins 1970–1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedYearsForTeam Context triple: [Jim Langer, playedYearsForTeam, Miami Dolphins 1970–1979]
-
A.
careerSpanTeam
Indicates the team for which an individual’s entire career span (or a defined portion of it) is being measured or associated.
-
B.
playedCareerGamesForTeam
Indicates that an athlete has played official career games as a member of the specified team.
-
C.
winnerCareerSpanTeam
Indicates the team for which a winner competed during the span of their professional career.
-
D.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
E.
yearsWithTeam
chosen
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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:13 p.m.