Triple
T2895057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huddersfield Town A.F.C. |
E63916
|
entity |
| Predicate | HerbertChapmanTenureIncludes |
P43850
|
FINISHED |
| Object | 1920s league title wins |
—
|
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: 1920s league title wins | Statement: [Huddersfield Town A.F.C., HerbertChapmanTenureIncludes, 1920s league title wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HerbertChapmanTenureIncludes Context triple: [Huddersfield Town A.F.C., HerbertChapmanTenureIncludes, 1920s league title wins]
-
A.
headCoachTenure
Indicates the duration or period during which a specific individual serves as the head coach of a team or organization.
-
B.
firstEnglishClubManagerToWin
Indicates that the subject is the first manager of an English football club ever to achieve a particular victory or title.
-
C.
PremierLeagueFoundingMember
Indicates that an entity was one of the original clubs that formed the Premier League at its inception.
-
D.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
E.
LiverpoolManager
Indicates that one entity serves as the manager (head coach) of the football club Liverpool.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe06509808190b673222b9ae3d599 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:08 p.m.