Triple
T35137054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway production of Irma La Douce |
E1014601
|
entity |
| Predicate | roleOfNestorPlayedBy |
P9616
|
FINISHED |
| Object | Keith Michell |
E2127413
|
NE 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: Keith Michell | Statement: [Broadway production of Irma La Douce, roleOfNestorPlayedBy, Keith Michell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfNestorPlayedBy Context triple: [Broadway production of Irma La Douce, roleOfNestorPlayedBy, Keith Michell]
-
A.
narratorPlayedBy
Indicates that a given narrator character is portrayed or voiced by a specific performer or actor.
-
B.
characterPlayedByRichardHarris
Indicates that the subject is a character that was portrayed by the actor Richard Harris.
-
C.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
apprenticeRolePlayedBy
Indicates that an apprentice role is portrayed or performed by a specific person or actor.
-
E.
PierreBezukhovPortrayedBy
Indicates that a particular actor portrays the character Pierre Bezukhov in a performance or adaptation.
- F. None of above.
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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb0bfc948190a49236a479244cef |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:02 p.m.