Triple
T16259627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Hawke |
E394720
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hawke |
E282502
|
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: Hawke | Statement: [Bob Hawke, familyName, Hawke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawke Context triple: [Bob Hawke, familyName, Hawke]
-
A.
Hawke
chosen
Hawke is a surname of English origin borne by various notable individuals across fields such as politics, the military, and the arts.
-
B.
Stringfellow Hawke
Stringfellow Hawke is the brooding, virtuoso helicopter pilot and main protagonist of the 1980s TV series "Airwolf."
-
C.
Arno
The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
-
D.
Arno
Arno is a settlement located on Arno Atoll in the Marshall Islands, known for its traditional Pacific island community and lagoon environment.
-
E.
Shepard
Shepard is a surname most famously associated with Sam Shepard, the American playwright, actor, and director known for his influential works in contemporary theater and film.
- 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_6a000eee110c819088d99b80435ab70b |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.