Triple
T21027537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba Trueba |
E517977
|
entity |
| Predicate | inheritsTrait |
P128540
|
FINISHED |
| Object | clairvoyant sensitivity |
—
|
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: clairvoyant sensitivity | Statement: [Alba Trueba, inheritsTrait, clairvoyant sensitivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inheritsTrait Context triple: [Alba Trueba, inheritsTrait, clairvoyant sensitivity]
-
A.
inheritsThrough
Indicates that one entity acquires rights, traits, or properties from another entity via an intermediate source or lineage rather than directly.
-
B.
containsTrait
chosen
Indicates that one entity possesses, exhibits, or is characterized by a specified trait.
-
C.
inheritsSymbolFrom
Indicates that one entity derives or receives its symbolic representation or notation from another entity.
-
D.
inheritsPropertyType
Indicates that one entity derives or acquires its property type definition from another entity, typically following an inheritance or subtype relationship.
-
E.
hasCommonTraitWith
Indicates that two entities share at least one trait, characteristic, or property in common.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7d93908190a2c29a4051fb5acc |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.