Triple
T14391466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manney |
E356852
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Maney |
E356852
|
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: Maney | Statement: [Manney, hasVariant, Maney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maney Context triple: [Manney, hasVariant, Maney]
-
A.
Manney
chosen
Manney is the family name of American stage and film actress Helen Westley.
-
B.
Meehan
Meehan is a surname of Irish origin borne by various notable individuals across fields such as politics, literature, and business.
-
C.
Manhoy
Manhoy is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
D.
Manya
Manya is a notable work by the artist Starboy, recognized within his body of music.
-
E.
Menke
Menke is a surname most notably associated with Sally Menke, the acclaimed American film editor known for her long-time collaboration with director Quentin Tarantino.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902b9acc8190817ffa848a76a880 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc2836c8190a61dfd04127fd255 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:16 a.m.