Triple
T10083506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen |
E213961
|
entity |
| Predicate | relatedName |
P3889
|
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: [Maureen, relatedName, Maura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Context triple: [Maureen, relatedName, 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.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
D.
Maureen
Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Maura Pfefferman
Maura Pfefferman is the transgender matriarch at the center of the television series "Transparent," whose late-in-life transition reshapes her family's dynamics and self-understanding.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b675f4b08190bd8285f210191b93 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.