Triple
T5904586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wilkes Booth |
E131312
|
entity |
| Predicate | performedProfessionallyIn |
P54971
|
FINISHED |
| Object | theatre |
—
|
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: theatre | Statement: [John Wilkes Booth, performedProfessionallyIn, theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedProfessionallyIn Context triple: [John Wilkes Booth, performedProfessionallyIn, theatre]
-
A.
performedTo
Indicates that an action or performance is directed toward or carried out on a particular entity.
-
B.
performedInProduction
Indicates that an entity (such as a person or group) took part as a performer in a specific production or performance event.
-
C.
performed
Indicates that an entity carried out, executed, or conducted a specific action, task, or activity.
-
D.
performedWith
Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
-
E.
notablePerformanceMedium
chosen
Indicates the medium (such as film, stage, or television) in which an entity delivered a notable or distinguished performance.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.