Triple
T8959979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven McRae |
E213976
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steven McRae |
E213976
|
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: Steven McRae | Statement: [Steven McRae, name, Steven McRae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven McRae Context triple: [Steven McRae, name, Steven McRae]
-
A.
Steven McRae
chosen
Steven McRae is an Australian principal dancer with The Royal Ballet, known for his virtuosity and theatrical flair on both stage and screen.
-
B.
David McRae
David McRae is an author known for his work on the song "Maria Maria."
-
C.
Mo McRae
Mo McRae is an American actor and producer known for his work in film and television, often appearing in crime dramas and action thrillers.
-
D.
Daniel McPhee
Daniel McPhee is the late father of American singer and actress Katharine McPhee, known primarily in connection with her life and career.
-
E.
Ian McNaught-Davis
Ian McNaught-Davis was a British mountaineer and television presenter known for his pioneering climbs in the Himalayas and his popular BBC programs on climbing and computing.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6746fbf88190aba658b4b9c2e4b0 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc94ab868819080ff3fc7532a3874 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7 p.m.