Triple
T13447834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Slaughter |
E320528
|
entity |
| Predicate | playedInIFL |
P109982
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chicago Slaughter, playedInIFL, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInIFL Context triple: [Chicago Slaughter, playedInIFL, true]
-
A.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
B.
playedInConference
Indicates that an entity (typically a team or player) participated in games within a specific conference during a season or time period.
-
C.
alsoPlayedIn
Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
-
D.
playsAssociationFootballIn
Indicates that an entity participates in playing association football (soccer) within or for a specified place, organization, or context.
-
E.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.