Triple
T16871633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Swanson |
E421181
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maureen |
E213961
|
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: Maureen | Statement: [Maureen Swanson, givenName, Maureen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen Context triple: [Maureen Swanson, givenName, Maureen]
-
A.
Maureen
chosen
Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
B.
Maryanne
Maryanne is a feminine given name, often used in English-speaking countries as a variant of Mary Ann or Marianne.
-
C.
Maureen Tarnopol
Maureen Tarnopol is a central fictional character in Philip Roth’s novel "My Life as a Man," serving as a complex and often destructive presence in the protagonist’s life.
-
D.
Maeve Wiley
Maeve Wiley is a sharp, rebellious, and intellectually gifted teenager from the series "Sex Education," known for her complex personal life and partnership with Otis Milburn in running an underground sex therapy clinic at their school.
-
E.
Miss Meara
Miss Meara is a fictional character portrayed by actress Jeanetta Arnette, best known from the American television series "Head of the Class."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f31b448190a21e3e4d1a0d2f73 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b0dcbc8190a164cbd57586ac9c |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:29 a.m.