Triple
T26500697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flor Moreno |
E669411
|
entity |
| Predicate | coreTrait |
P37384
|
FINISHED |
| Object | protective of her daughter |
—
|
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: protective of her daughter | Statement: [Flor Moreno, coreTrait, protective of her daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreTrait Context triple: [Flor Moreno, coreTrait, protective of her daughter]
-
A.
coreAttribute
Indicates that one attribute is a fundamental, defining, or essential property of another entity.
-
B.
associatedCharacterTrait
chosen
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
C.
core
Indicates a central, most important, or foundational part of something in relation to its surrounding or supporting elements.
-
D.
primaryCharacteristics
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
E.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6135a809c81909e74dad63931f08a |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:12 a.m.