Triple
T15972344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maksim Chmerkovskiy |
E387354
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Peta Murgatroyd |
E699921
|
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: Peta Murgatroyd | Statement: [Maksim Chmerkovskiy, spouse, Peta Murgatroyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peta Murgatroyd Context triple: [Maksim Chmerkovskiy, spouse, Peta Murgatroyd]
-
A.
Peta Murgatroyd
chosen
Peta Murgatroyd is a New Zealand–born Australian professional Latin dancer best known for her multiple championship wins and long-running role as a pro on the television show "Dancing with the Stars."
-
B.
Mary Tuffley
Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
-
C.
Mary Tuffley
Mary Tuffley is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Anna Rampton
Anna Rampton is a fictional senior BBC executive in the British mockumentary series "W1A," known for her terse manner and corporate jargon.
-
E.
Beryl Mercer
Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572a8fd8819092ae1766324b1345 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8afa288190838cb35b8a4fcf50 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.