Triple
T33655032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha, Pierre & The Great Comet of 1812 |
E862197
|
entity |
| Predicate | originalNatashaActor |
P204161
|
FINISHED |
| Object | Phillipa Soo |
E245484
|
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: Phillipa Soo | Statement: [Natasha, Pierre & The Great Comet of 1812, originalNatashaActor, Phillipa Soo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNatashaActor Context triple: [Natasha, Pierre & The Great Comet of 1812, originalNatashaActor, Phillipa Soo]
-
A.
characterPlayedBy Larisa Oleynik
Indicates that a specific fictional character is portrayed or acted by Larisa Oleynik.
-
B.
characterPlayedByGalGadot
Indicates that a given character is portrayed or acted by Gal Gadot.
-
C.
characterPlayedBy Emmanuelle Chriqui
Indicates that the role or character in question is portrayed or acted by Emmanuelle Chriqui.
-
D.
actressFullName
Indicates that the relationship specifies the complete, formal name of an actress.
-
E.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
- F. None of above. chosen
Provenance (5 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_6a033d975d788190aafc4be10d6c5c1c |
completed | May 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a363c89fff48190911ebe5b0559bd32 |
completed | June 20, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_6a033cc2668481908cb696e57632a68f |
completed | May 12, 2026, 2:44 p.m. |
| PDg | Predicate description generation | batch_6a033d9690e081909f65653b0dc80e20 |
completed | May 12, 2026, 2:47 p.m. |
Created at: May 1, 2026, 1:42 a.m.