Triple
T30094738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whizzer Brown |
E764830
|
entity |
| Predicate | notableStagePortrayalBy |
P124623
|
FINISHED |
| Object | Michael Rupert |
E951522
|
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: Michael Rupert | Statement: [Whizzer Brown, notableStagePortrayalBy, Michael Rupert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStagePortrayalBy Context triple: [Whizzer Brown, notableStagePortrayalBy, Michael Rupert]
-
A.
notableCharacterPortrayal
Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
-
B.
notableActorInStageProduction
chosen
Indicates that a person is a distinguished or prominent actor in a particular stage production.
-
C.
notablePortrayalPeriod
Indicates the time period during which a particular portrayal or depiction of something or someone is especially recognized or notable.
-
D.
notableDepictionBy
Indicates that an entity is significantly portrayed or represented by a particular creator, work, or medium.
-
E.
portraysNotableAct
Indicates that an entity depicts or represents a significant or noteworthy action performed by another entity.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27432af84881909f6dfa4acb62e18d |
completed | June 8, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:07 p.m.