Triple
T33303487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serafina Delle Rose |
E852649
|
entity |
| Predicate | firstPortrayedOnStageBy |
P125619
|
FINISHED |
| Object | Maureen Stapleton |
E72814
|
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: Maureen Stapleton | Statement: [Serafina Delle Rose, firstPortrayedOnStageBy, Maureen Stapleton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPortrayedOnStageBy Context triple: [Serafina Delle Rose, firstPortrayedOnStageBy, Maureen Stapleton]
-
A.
firstStagePortrayalBy
Indicates that an entity’s initial or earliest stage is depicted or represented by another entity.
-
B.
portrayedByStageName
Indicates that an entity is depicted or represented by a performer identified specifically by their stage name.
-
C.
madeOperaticDebutAt
Indicates the event, venue, or production at which a person first performed in an opera professionally.
-
D.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
E.
firstPortrayedBy
chosen
Indicates that the subject character or role was originally depicted or played by the specified performer for the first time.
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a397d5fb7e0819097e50cdcbc3f16e5 |
completed | June 22, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:33 a.m.