Triple
T32328973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Boy Like That / I Have a Love |
E825994
|
entity |
| Predicate | originalBroadwayPerformerOfMaria |
P4737
|
FINISHED |
| Object | Carol Lawrence |
—
|
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: Carol Lawrence | Statement: [A Boy Like That / I Have a Love, originalBroadwayPerformerOfMaria, Carol Lawrence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadwayPerformerOfMaria Context triple: [A Boy Like That / I Have a Love, originalBroadwayPerformerOfMaria, Carol Lawrence]
-
A.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
B.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
C.
broadwayDebutOfPerformer
Indicates the specific Broadway production in which a performer made their first appearance on Broadway.
-
D.
notableBroadwayPerformer
Indicates that the subject is a performer who has achieved notable recognition for work on Broadway productions.
-
E.
BroadwayDebutWith
Indicates that one entity made their first appearance on Broadway in a production involving the other entity.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01926e2f348190a632eff5c91db5e0 |
completed | May 11, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_6a01923488f4819094d79a27f4bc8ab8 |
completed | May 11, 2026, 8:24 a.m. |
Created at: May 1, 2026, 12:47 a.m.