Triple
T6494088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abel Murcott |
E148111
|
entity |
| Predicate | createdForMedium |
P71054
|
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: [Abel Murcott, createdForMedium, theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdForMedium Context triple: [Abel Murcott, createdForMedium, theatre]
-
A.
createdFor
Indicates that one entity was made, produced, or designed specifically to serve, benefit, or be used by another entity.
-
B.
createdAround
Indicates that something was brought into existence or produced approximately at a particular time or within an imprecise time period.
-
C.
createdTo
Indicates that one entity was brought into existence, produced, or designed specifically for the purpose, use, or function of another entity.
-
D.
createdForWorkBy
Indicates that something was created specifically for use in work or professional activities by a particular agent or person.
-
E.
createdAs
Indicates that one entity was originally made, designed, or brought into existence in the form, role, or identity specified by another entity.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067f1ef148190bc0355abe83f7e16 |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:53 p.m.