Triple
T2925099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikel Arteta |
E78823
|
entity |
| Predicate | assistantCoachPeriodStart |
P17026
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Mikel Arteta, assistantCoachPeriodStart, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistantCoachPeriodStart Context triple: [Mikel Arteta, assistantCoachPeriodStart, 2016]
-
A.
assistantCoachAt
Indicates that one entity serves in the role of assistant coach for a sports team, organization, or program represented by the other entity.
-
B.
coachingStart
chosen
Indicates the point in time when a coaching relationship or coaching session begins.
-
C.
beganUnderCoach
Indicates that one entity started its activity, career, or involvement while being coached or supervised by another entity.
-
D.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
-
E.
coachedSeasonStart
Indicates that a person began serving as a coach for a team or individual at the start of a specific season.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.