Triple
T34951145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blame It on Rio |
E1007999
|
entity |
| Predicate | hasUncreditedAppearance |
P155958
|
FINISHED |
| Object | Margaux Hemingway |
—
|
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: Margaux Hemingway | Statement: [Blame It on Rio, hasUncreditedAppearance, Margaux Hemingway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncreditedAppearance Context triple: [Blame It on Rio, hasUncreditedAppearance, Margaux Hemingway]
-
A.
hasUncreditedBitRole
chosen
Indicates that an entity appears in a minor, typically small or background role in a production without receiving on-screen credit.
-
B.
hasNotableUncreditedContribution
Indicates that an entity made a significant contribution to another entity or work that is not formally credited or acknowledged.
-
C.
hasNotableCompilationAppearance
Indicates that an entity appears in a notable compilation work, such as an anthology, collection, or multi-item release.
-
D.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
E.
hasPerformerCredit
Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 3, 2026, 4 p.m.