Triple
T10810588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacRae |
E255089
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | McRae |
E624418
|
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: McRae | Statement: [MacRae, variant, McRae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McRae Context triple: [MacRae, variant, McRae]
-
A.
McRae
chosen
McRae is a Scottish-origin surname borne by numerous notable individuals across sports, politics, and the arts.
-
B.
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.
-
C.
O’Meara
O’Meara is an Irish surname associated with figures such as Jane O’Meara Sanders, an American social worker and academic administrator.
-
D.
MacRae
MacRae is a Scottish surname associated with various notable individuals in fields such as entertainment, sports, and public life.
-
E.
Chastain
Chastain is a surname most prominently associated with American soccer player Brandi Chastain, known for her pivotal role in the U.S. women's national team.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8526237881908dc3b25b16de7871 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.