Triple
T30988912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence Kilburn |
E789611
|
entity |
| Predicate | yearsAtMeadowBrookTheatre |
P170885
|
FINISHED |
| Object | 1970–1994 |
—
|
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: 1970–1994 | Statement: [Terrence Kilburn, yearsAtMeadowBrookTheatre, 1970–1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsAtMeadowBrookTheatre Context triple: [Terrence Kilburn, yearsAtMeadowBrookTheatre, 1970–1994]
-
A.
venueSinceYear
Indicates that a venue has been operating or established since a specified year.
-
B.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
-
C.
hasBroadwayOpeningYearOfSource
Indicates that the Broadway production associated with the subject entity opened in the same year as specified by the source entity.
-
D.
offBroadwayPremiereYear
Indicates the year in which a work (such as a play or musical) first premiered in an Off-Broadway production.
-
E.
BroadwayTransferYear
Indicates the year in which an entity was transferred to or began its run on Broadway.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:56 p.m.