Triple
T11088405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Tierney |
E262184
|
entity |
| Predicate | givenName |
P17
|
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: [Maura Tierney, givenName, Maura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Context triple: [Maura Tierney, 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.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
E.
Frieda Maloney
Frieda Maloney is a fictional character appearing in Ira Levin’s thriller novel and its film adaptation "The Boys from Brazil," which centers on a Nazi conspiracy involving Josef Mengele.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7b68ca88190a26ee54eb873c9cf |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.