Triple
T5119317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leetch |
E115420
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Leach |
E96974
|
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: Leach | Statement: [Leetch, hasSpellingVariant, Leach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leach Context triple: [Leetch, hasSpellingVariant, Leach]
-
A.
Leach
chosen
Leach is the birth surname of classic Hollywood actor Cary Grant, who was born Archibald Alexander Leach.
-
B.
Chenault
Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
-
C.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
-
D.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
E.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77cf6590819081488b739efae32c |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4ac11e081908979b32f458a011e |
completed | March 21, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:42 p.m.