Triple
T1481265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoinette Perry |
E30960
|
entity |
| Predicate | typeOfNamedThing |
P29259
|
FINISHED |
| Object | eponym of the Tony Awards |
—
|
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: eponym of the Tony Awards | Statement: [Antoinette Perry, typeOfNamedThing, eponym of the Tony Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfNamedThing Context triple: [Antoinette Perry, typeOfNamedThing, eponym of the Tony Awards]
-
A.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
B.
semanticType
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
-
C.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
D.
isNamedEntity
Indicates that the subject is recognized as a named entity, such as a specific person, organization, location, or other proper noun.
-
E.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
- F. None of above. chosen
Provenance (4 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c57984088190b2c2d2d9cc2e5df9 |
completed | March 1, 2026, 11:02 p.m. |
Created at: March 1, 2026, 8:11 p.m.