Triple
T18159917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Hooker |
E434729
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hooker |
—
|
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: Hooker | Statement: [Mary Hooker, familyName, Hooker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hooker Context triple: [Mary Hooker, familyName, Hooker]
-
A.
Hooker
Hooker is a small city in the Oklahoma Panhandle known for its agricultural economy and tongue-in-cheek tourism slogan, “It’s a location, not a vocation.”
-
B.
Hooker
chosen
Hooker is a surname most notably associated with members of the prominent American Beecher family, including women’s rights advocate Isabella Beecher Hooker.
-
C.
Johnny Hooker
Johnny Hooker is the young, ambitious con artist portrayed by Robert Redford in the classic 1973 film "The Sting."
-
D.
Yank
Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
-
E.
Sucker
Sucker is Charli XCX’s breakthrough 2014 pop-punk-influenced studio album featuring hits like "Boom Clap" and "Break the Rules."
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec0e0388190af11ac167411da96 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.