Triple
T31185908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Payton Hobart |
E795041
|
entity |
| Predicate | hasCampaignTeamMember |
P7184
|
FINISHED |
| Object | McAfee Westbrook |
—
|
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: McAfee Westbrook | Statement: [Payton Hobart, hasCampaignTeamMember, McAfee Westbrook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampaignTeamMember Context triple: [Payton Hobart, hasCampaignTeamMember, McAfee Westbrook]
-
A.
hasTeamMember
chosen
Indicates that an entity includes another entity as a member of its team.
-
B.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
C.
hasPartInTeamLegacy
Indicates that an entity contributes to or is included as a component of a team's enduring history, heritage, or long-term legacy.
-
D.
associatedWithTeamMember
Indicates a relationship where an entity has a connection, involvement, or linkage with a specific member of a team.
-
E.
hasGroupMember
Indicates that a group or collection includes a specific entity as one of its members.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: April 29, 2026, 9:08 p.m.