Triple
T12943236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Negro Woman |
E309689
|
entity |
| Predicate | isCreditedAs |
P66001
|
FINISHED |
| Object | Negro Woman in play scripts |
—
|
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: Negro Woman in play scripts | Statement: [A Negro Woman, isCreditedAs, Negro Woman in play scripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCreditedAs Context triple: [A Negro Woman, isCreditedAs, Negro Woman in play scripts]
-
A.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
-
B.
creditedIn
chosen
Indicates that an entity is acknowledged or listed as a contributor or source within a particular work, record, or context.
-
C.
authorAsCredited
Indicates the relationship between a work and the person or entity credited as its author, regardless of actual authorship.
-
D.
hasWritingCreditOn
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
-
E.
creditsAre
Indicates that certain credits are assigned, attributed, or owed to a particular entity or set of entities.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.