Triple
T16259654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Hawke |
E394720
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Hazel Hawke |
E950673
|
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: Hazel Hawke | Statement: [Bob Hawke, spouse, Hazel Hawke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazel Hawke Context triple: [Bob Hawke, spouse, Hazel Hawke]
-
A.
Hazel Hawke
chosen
Hazel Hawke was an Australian social campaigner and the first wife of former Prime Minister Bob Hawke, known for her advocacy on social issues and support for the arts.
-
B.
Hazel
Hazel is a soft, muted green color variant used as one of the finish options for the first-generation Google Pixel Tablet.
-
C.
Hazel
Hazel is a feminine given name of English origin, derived from the hazel tree and often associated with nature and greenish-brown eye color.
-
D.
Hazel
Hazel is the child narrator and central figure of the comic book series "Saga," through whose perspective the epic space opera story unfolds.
-
E.
Hazel
Hazel is the birth name of Carlotta Monterey, an American stage actress best known as the third wife of playwright Eugene O’Neill.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3082c8190a1c9f92b255fdbb6 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f9b8bc81909315b14c3c1f6d83 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.