Triple
T24706633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristian Woolf |
E611909
|
entity |
| Predicate | clubTeamCoached |
P109234
|
FINISHED |
| Object | St Helens R.F.C. |
—
|
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: St Helens R.F.C. | Statement: [Kristian Woolf, clubTeamCoached, St Helens R.F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubTeamCoached Context triple: [Kristian Woolf, clubTeamCoached, St Helens R.F.C.]
-
A.
teamCoachedFrom
Indicates that a coaching relationship exists where a coach is responsible for training or managing a team originating from a specific organization, location, or context.
-
B.
gamesCoachedWithTeam
Indicates the number of games a coach has led while associated with a specific team.
-
C.
collegeTeamCoached
Indicates that a person has served as a coach for a particular college sports team.
-
D.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
-
E.
teamServedAsCoach
chosen
Indicates that a person held the role of coach for 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.