Triple
T28185792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carles Puyol |
E716173
|
entity |
| Predicate | hallmarkTraits |
P128575
|
FINISHED |
| Object | commitment and work ethic |
—
|
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: commitment and work ethic | Statement: [Carles Puyol, hallmarkTraits, commitment and work ethic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallmarkTraits Context triple: [Carles Puyol, hallmarkTraits, commitment and work ethic]
-
A.
distinguishingTrait
chosen
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
B.
genomeCharacteristic
Indicates that an entity has a specific property, feature, or attribute related to its genome.
-
C.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
D.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
E.
biologicalCharacteristic
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64285d75481908da4a276fd8c4676 |
completed | May 2, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:22 p.m.