Triple
T6999368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Steinem |
E162295
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Steinem |
E162295
|
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: Steinem | Statement: [Gloria Steinem, familyName, Steinem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinem Context triple: [Gloria Steinem, familyName, Steinem]
-
A.
Gloria Steinem
chosen
Gloria Steinem is a pioneering American feminist, journalist, and political activist who became a leading figure of the women’s liberation movement from the 1960s onward.
-
B.
Mary Louise Miller
Mary Louise Miller was an actress who appeared in early American silent cinema, including the 1926 film "Sparrows."
-
C.
Katha Pollitt
Katha Pollitt is an American poet, essayist, and longtime columnist for The Nation, known for her incisive feminist and political commentary.
-
D.
Susan Brownmiller Allen
Susan Brownmiller Allen is known primarily as the wife of American politician George Allen Jr., a former U.S. Senator and Governor of Virginia.
-
E.
Stacy Madeleine Schiff
Stacy Madeleine Schiff is a Pulitzer Prize–winning American author and biographer known for her meticulously researched works on historical figures such as Cleopatra and Vera Nabokov.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbf083b481909dd30e28e908dfdf |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775573c84819081f34ab2b14b700a |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:33 p.m.