Triple
T10255525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Muir |
E240453
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Muir |
E99938
|
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: Muir | Statement: [Helen Muir, familyName, Muir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muir Context triple: [Helen Muir, familyName, Muir]
-
A.
Muir
chosen
Muir is a Scottish surname most famously associated with naturalist and conservationist John Muir.
-
B.
Mullavey
Mullavey is a surname most notably associated with American actor Greg Mullavey, known for his work in television and film.
-
C.
Gosiute
Gosiute is a dialect of the Shoshoni language traditionally spoken by the Goshute people of the Great Basin region in the western United States.
-
D.
MacKenzie
MacKenzie is the first name of MacKenzie Scott, the American novelist and philanthropist known for her large-scale charitable giving.
-
E.
Muir Rock
Muir Rock is a large granite boulder and popular riverside viewpoint and swimming spot along the Kings River in Kings Canyon National Park.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24c69ac81908b4da53d13407ac8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7d7ff0c8190b8c9cf063532cdf2 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:30 a.m.