Triple
T7407914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacNeil |
E170925
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | MacNeal |
E170925
|
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: MacNeal | Statement: [MacNeil, hasVariant, MacNeal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacNeal Context triple: [MacNeil, hasVariant, MacNeal]
-
A.
MacNeil
chosen
MacNeil is a surname of Scottish origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
McNeely
McNeely is a surname of Scottish and Irish origin borne by various notable individuals, including composer and conductor Joel McNeely.
-
C.
Neale
Neale is an English-language surname of Anglo-Saxon and Irish origin, borne by various notable historical and contemporary figures.
-
D.
MacRae
MacRae is a Scottish surname associated with various notable individuals in fields such as entertainment, sports, and public life.
-
E.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111fcd948190adbe6280df53a916 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.