Triple
T34099449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado State Rams football (assistant coach) |
E874522
|
entity |
| Predicate | notableFormerAssistant |
P205319
|
FINISHED |
| Object | Urban Meyer |
E275697
|
NE 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: Urban Meyer | Statement: [Colorado State Rams football (assistant coach), notableFormerAssistant, Urban Meyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFormerAssistant Context triple: [Colorado State Rams football (assistant coach), notableFormerAssistant, Urban Meyer]
-
A.
notableFormerHolderRole
Indicates that an entity previously held a particular notable role or position.
-
B.
notableFormerOfficeHolderRole
Indicates that an entity previously held a particular official position or role that is considered notable.
-
C.
notableOfficer
Indicates that an entity has served as a significant or distinguished officer of another entity, such as an organization, institution, or group.
-
D.
notableFormerLeader
Indicates that the subject was once a leader of the object and is recognized as particularly significant or prominent in that former leadership role.
-
E.
notableOfficeHolder
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
- F. None of above. chosen
Provenance (5 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b76510ec8190ad592669d46b37e9 |
completed | June 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:53 a.m.