Triple
T6966711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donny Hathaway |
E161507
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hathaway |
E137459
|
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: Hathaway | Statement: [Donny Hathaway, familyName, Hathaway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hathaway Context triple: [Donny Hathaway, familyName, Hathaway]
-
A.
Hathaway
chosen
Hathaway is the surname of American actress Anne Hathaway, known for her versatile roles in film and theater.
-
B.
Carol Hathaway
Carol Hathaway is a dedicated and compassionate emergency room nurse and nurse manager on the television series "ER," known for her complex personal and professional relationship with Dr. Doug Ross.
-
C.
Ava Hamilton
Ava Hamilton is the central astronaut protagonist in the science fiction horror film "The Cloverfield Paradox," whose actions aboard an experimental space station drive the movie’s catastrophic events.
-
D.
Alexa Havins
Alexa Havins is an American actress best known for her work in television, including a starring role in the science fiction series "Torchwood."
-
E.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db121174819098e73e45f6c9cc91 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a57b8481908cef7de9b3abf7a3 |
completed | March 28, 2026, 4:27 a.m. |
Created at: March 27, 2026, 2:30 p.m.