Triple
T25898657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Admiral’s Men |
E652540
|
entity |
| Predicate | theatricalCompetitionWith |
P159551
|
FINISHED |
| Object | Lord Chamberlain’s Men |
—
|
NE NERFINISHED |
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: Lord Chamberlain’s Men | Statement: [Lord Admiral’s Men, theatricalCompetitionWith, Lord Chamberlain’s Men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalCompetitionWith Context triple: [Lord Admiral’s Men, theatricalCompetitionWith, Lord Chamberlain’s Men]
-
A.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
B.
programCompetition
Indicates a competitive relationship between programs, where programs are compared or ranked against each other in some contest or evaluation.
-
C.
theaterProduction
Indicates a relationship where a theatrical work is produced or staged, typically linking the production event to the play, venue, or organizing entity.
-
D.
theaterOpposedTo
Indicates that a theater is in opposition to, or actively resists or disagrees with, a particular entity, idea, policy, or action.
-
E.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6038777008190ae54d57d622824f9 |
completed | May 2, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:23 a.m.