Triple
T6632158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Knox |
E149950
|
entity |
| Predicate | teamIdentityInfluence |
P55413
|
FINISHED |
| Object | establishing physical, run-first identity |
—
|
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: establishing physical, run-first identity | Statement: [Chuck Knox, teamIdentityInfluence, establishing physical, run-first identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamIdentityInfluence Context triple: [Chuck Knox, teamIdentityInfluence, establishing physical, run-first identity]
-
A.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
B.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
C.
teamStyle
chosen
Indicates the characteristic way a team typically operates, collaborates, and approaches its work or objectives.
-
D.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
-
E.
teamBased
Indicates that an activity, process, or structure is organized around collaboration within a group or team rather than by individuals working independently.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.