Triple
T17861376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humberto Peñaloza |
E446078
|
entity |
| Predicate | identityMotif |
P2366
|
FINISHED |
| Object | shifting identities |
—
|
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: shifting identities | Statement: [Humberto Peñaloza, identityMotif, shifting identities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identityMotif Context triple: [Humberto Peñaloza, identityMotif, shifting identities]
-
A.
identityFeatures
Indicates that certain characteristics or attributes are used to define, distinguish, or uniquely identify an entity.
-
B.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
C.
primaryMotif
chosen
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
D.
identifiedUsing
Indicates that one entity was recognized, distinguished, or determined by means of a specified method, tool, or identifier.
-
E.
identityConcealedBy
Indicates that one entity hides, masks, or obscures the true identity of another entity.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.