Triple
T3580279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary |
E75782
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Maura |
E279329
|
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: Maura | Statement: [Mary, hasVariant, Maura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Context triple: [Mary, hasVariant, Maura]
-
A.
Maura
chosen
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
-
B.
Maura Isles
Maura Isles is a brilliant, fashion-conscious medical examiner and one of the two central protagonists in the crime drama series "Rizzoli & Isles."
-
C.
Maureen
Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
D.
Lucia Chase
Lucia Chase was an influential American dancer, actress, and arts patron best known for co-founding and long directing the American Ballet Theatre, helping to establish it as a leading classical ballet company.
-
E.
Daphne Moon
Daphne Moon is a quirky, psychic-leaning live-in physical therapist and housekeeper who becomes a central member of the Crane household on the television sitcom "Frasier."
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0ffecdc8190bf01c8ba90e3733e |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc95fa881909846a6d53ba6a24e |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.