Triple
T15003627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy MacElroy |
E377650
|
entity |
| Predicate | coachesInclude |
P116316
|
FINISHED |
| Object | Coach |
—
|
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: Coach | Statement: [Jimmy MacElroy, coachesInclude, Coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachesInclude Context triple: [Jimmy MacElroy, coachesInclude, Coach]
-
A.
numberOfCoaches
Indicates the total count of coaches associated with a given entity or context.
-
B.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
C.
coachesInConference
Indicates that a coach is responsible for leading or coaching a team within a specified athletic conference.
-
D.
notableAssistantCoaches
Indicates that the subject has assistant coaches who are particularly distinguished or noteworthy in their roles.
-
E.
notableCoachesInvolved
Indicates that certain coaches, recognized for their significance or prominence, were involved in relation to the subject entity.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:54 a.m.