Triple
T545552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cronos |
E12723
|
entity |
| Predicate | featuresCreature |
P5692
|
FINISHED |
| Object | vampire-like being |
—
|
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: vampire-like being | Statement: [Cronos, featuresCreature, vampire-like being]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCreature Context triple: [Cronos, featuresCreature, vampire-like being]
-
A.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
B.
faunaCharacteristic
chosen
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
C.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
D.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
E.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dfec5c81908b76d723b30dc2f0 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.