Triple
T33655033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha, Pierre & The Great Comet of 1812 |
E862197
|
entity |
| Predicate | originalPierreActor |
P125509
|
FINISHED |
| Object | Dave Malloy |
E1857494
|
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: Dave Malloy | Statement: [Natasha, Pierre & The Great Comet of 1812, originalPierreActor, Dave Malloy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPierreActor Context triple: [Natasha, Pierre & The Great Comet of 1812, originalPierreActor, Dave Malloy]
-
A.
portrayedInOriginalProductionBy
chosen
Indicates that an entity (such as a role or character) was first brought to life or performed in the original production by a specific performer.
-
B.
characterPlayedByJeanGabin
Indicates that the subject is a character portrayed by the actor Jean Gabin.
-
C.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
characterPlayedBy_Danielle Darrieux
Indicates that a given character is portrayed or acted by Danielle Darrieux.
-
E.
originallyCastLeadActor
Indicates that a person was the lead actor in the original casting of a production (before any later replacements or recasting).
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a033ed9322c8190be994a8d99761caa |
completed | May 12, 2026, 2:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366e80d938819098562c29f5d15884 |
completed | June 20, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_6a033df2b254819082a672859e5168e6 |
completed | May 12, 2026, 2:49 p.m. |
Created at: May 1, 2026, 1:42 a.m.