Triple
T23399299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Anson Dorrance IV |
E559453
|
entity |
| Predicate | hasPartInTeamLegacy |
P152107
|
FINISHED |
| Object | producing numerous U.S. women's national team players from UNC |
—
|
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: producing numerous U.S. women's national team players from UNC | Statement: [Albert Anson Dorrance IV, hasPartInTeamLegacy, producing numerous U.S. women's national team players from UNC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInTeamLegacy Context triple: [Albert Anson Dorrance IV, hasPartInTeamLegacy, producing numerous U.S. women's national team players from UNC]
-
A.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
B.
hasTeamMember
Indicates that an entity includes another entity as a member of its team.
-
C.
hasTeamSide
Indicates that an entity is associated with or belongs to a particular side or faction of a team within a competitive or collaborative context.
-
D.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
E.
hasSubteam
Indicates that one team is a subordinate or component team within another, larger team.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:37 p.m.