Triple
T20312494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tailor of Gloucester (character) |
E510288
|
entity |
| Predicate | hasAnimalHelper |
P36903
|
FINISHED |
| Object | mice |
—
|
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: mice | Statement: [The Tailor of Gloucester (character), hasAnimalHelper, mice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalHelper Context triple: [The Tailor of Gloucester (character), hasAnimalHelper, mice]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasAnimalClass
Indicates that an entity belongs to, or is categorized under, a particular animal class (such as mammal, bird, reptile, etc.).
-
C.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
D.
hasAnimalCollection
Indicates that one entity possesses or maintains a collection or group of animals associated with it.
-
E.
hasCreature
chosen
Indicates that one entity possesses, contains, or is associated with a particular creature.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677450ee0819081f02b5e95f40176 |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:19 a.m.