Triple
T31516598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aneka |
E804087
|
entity |
| Predicate | partnerInTeam |
P106180
|
FINISHED |
| Object | Ayo |
—
|
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: Ayo | Statement: [Aneka, partnerInTeam, Ayo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInTeam Context triple: [Aneka, partnerInTeam, Ayo]
-
A.
partnerInOrganizationWith
Indicates that two entities are associated as partners within the same organization or organizational context.
-
B.
partnerInLoveTeam
Indicates that two entities are teammates who are also partners in a romantic or love-based relationship.
-
C.
partnerInWorkOf
chosen
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
D.
partnerInLeadershipWith
Indicates that two entities share a joint leadership role or responsibility, collaborating as partners in guiding or managing an organization, group, or initiative.
-
E.
partnerInMission
Indicates that two or more entities collaborate as partners in carrying out the same mission or operation.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 30, 2026, 9:53 p.m.