Triple
T28208701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamlet's love |
E717097
|
entity |
| Predicate | isQuestionedBy |
P79743
|
FINISHED |
| Object | theatrical directors |
—
|
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: theatrical directors | Statement: [Hamlet's love, isQuestionedBy, theatrical directors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isQuestionedBy Context triple: [Hamlet's love, isQuestionedBy, theatrical directors]
-
A.
questionedFor
Indicates that one entity is being asked questions or interrogated by another entity, typically for information, clarification, or investigation.
-
B.
questionedFor
Indicates that one entity is being asked questions or interrogated by another, typically for information, clarification, or investigation.
-
C.
askedAboutBy
chosen
Indicates that one entity is the subject of a question or inquiry made by another entity.
-
D.
questionedIn
Indicates that one entity is the subject of questions or interrogation conducted by another entity, typically in a formal or investigative context.
-
E.
questedBy
Indicates that a quest or mission is initiated, assigned, or undertaken by a particular entity.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6430fdf488190b01ad19531e96991 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 10:37 p.m.