Triple
T34434917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Clark |
E883928
|
entity |
| Predicate | partnerOfArtist |
P181101
|
FINISHED |
| Object | Roberto Matta |
E253464
|
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: Roberto Matta | Statement: [Anne Clark, partnerOfArtist, Roberto Matta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerOfArtist Context triple: [Anne Clark, partnerOfArtist, Roberto Matta]
-
A.
partnerInMusicDuoWith
Indicates that two entities are members of the same musical duo, performing together as a two-person act.
-
B.
partnerInMusicGroupWith
Indicates that two entities are members of the same music group or band, sharing a collaborative musical partnership.
-
C.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
D.
artistDuoMember
Indicates that one entity is a member of a specific artist duo.
-
E.
partnerInQuartetWith
Indicates that two entities are members of the same quartet and are partners within that four-member group.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37661438f081908114bed19686aa02 |
completed | June 21, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: May 1, 2026, 2 a.m.