Triple
T23428091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidie Norman |
E563248
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maidie |
—
|
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: Maidie | Statement: [Maidie Norman, givenName, Maidie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maidie Context triple: [Maidie Norman, givenName, Maidie]
-
A.
Maidie
chosen
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
-
B.
Martha
Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
-
C.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
D.
Edna
Edna is the given first name of the acclaimed American actress Ellen Burstyn.
-
E.
Edna
Edna is a supporting character in Chinua Achebe’s political novel "A Man of the People," representing the personal and social entanglements surrounding the story’s corrupt leadership.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a54ae8ac8190b0bae2560582c904 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:48 p.m.