Triple
T18379169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Pfefferman |
E446396
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maura |
—
|
NE NERFINISHED |
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: [Maura Pfefferman, givenName, Maura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Context triple: [Maura Pfefferman, givenName, 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
Maura is a village in Nannestad Municipality in Viken county, Norway, known as a residential community with local services and proximity to Oslo Airport Gardermoen.
-
C.
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."
-
D.
Maura Ellis
Maura Ellis is one of the two central sisters in the 2015 comedy film "Sisters," portrayed as the more responsible and reserved sibling whose life is upended during a wild house party.
-
E.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51799e0f4819089e8af04888549bf |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.