Triple
T27929595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Moore |
E707941
|
entity |
| Predicate | leagueDuringCareer |
P2209
|
FINISHED |
| Object | NFL |
—
|
NE NERFINISHED |
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: NFL | Statement: [Lance Moore, leagueDuringCareer, NFL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueDuringCareer Context triple: [Lance Moore, leagueDuringCareer, NFL]
-
A.
leagueUsedFor
Indicates that a particular league is utilized as the context, setting, or organizing framework for some activity, event, or competition.
-
B.
leaguePlayedIn
chosen
Indicates that a sports team or player has participated in competitions within a particular league.
-
C.
leagueWorkedFor
Indicates that an individual has been employed by or has worked for a particular sports league.
-
D.
leagueParticipatedInAsPlayer
Indicates that a person, in the role of a player, took part in competitions organized by a specific league.
-
E.
leagueUsedBy
Indicates that a particular league is utilized, participated in, or otherwise employed by a given entity.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 7:02 p.m.