Triple
T13158067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Monét |
E312643
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McCants |
E312643
|
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: McCants | Statement: [Victoria Monét, familyName, McCants]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCants Context triple: [Victoria Monét, familyName, McCants]
-
A.
McCants
chosen
McCants is the surname of American singer-songwriter Victoria Monét, known for her R&B music and songwriting for major pop artists.
-
B.
McCallany
McCallany is the surname of American actor Holt McCallany, known for his roles in film and television, particularly in crime and drama series.
-
C.
Moltisanti
Moltisanti is the surname of Christopher Moltisanti, a key fictional mob associate and aspiring screenwriter in the television series "The Sopranos."
-
D.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
E.
Maynard
Maynard is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and politics.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c084028819093bc4e94d53b4f17 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf06f408190949f9ed5e899815b |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.