Triple
T28105798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shot Turquoise Marilyn |
E710357
|
entity |
| Predicate | subjectStageName |
P7872
|
FINISHED |
| Object | Marilyn Monroe |
—
|
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: Marilyn Monroe | Statement: [Shot Turquoise Marilyn, subjectStageName, Marilyn Monroe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectStageName Context triple: [Shot Turquoise Marilyn, subjectStageName, Marilyn Monroe]
-
A.
stageName
chosen
Indicates that one entity is the performance or professional name used by another entity.
-
B.
ownerStageName
Indicates that one entity is the stage name used by the owner entity.
-
C.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
D.
stageNameDerivedFrom
Indicates that an entity’s stage name is derived from, based on, or taken from another specified name or source.
-
E.
leaderStageName
Indicates the stage or performance name used by a leader in contrast to their real or formal name.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 9:08 p.m.