Triple
T20452948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Hawke |
E501701
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hawke |
—
|
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: Hawke | Statement: [Maya Hawke, familyName, Hawke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawke Context triple: [Maya Hawke, familyName, Hawke]
-
A.
Hawke
Hawke is an Australian television film in which Asher Keddie appears, dramatizing the life and political career of former Prime Minister Bob Hawke.
-
B.
Hawke
chosen
Hawke is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
-
C.
Hawke
Hawke is the customizable main character and central protagonist of the role-playing video game Dragon Age II, whose choices shape the story and world of Kirkwall.
-
D.
Stringfellow Hawke
Stringfellow Hawke is the brooding, virtuoso helicopter pilot and main protagonist of the 1980s TV series "Airwolf."
-
E.
Youngblood Hawke
Youngblood Hawke is a 1962 novel by Herman Wouk that follows the meteoric rise and tragic fall of an ambitious young writer in the American literary world.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.