Triple
T2307033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etta James |
E51863
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hawkins |
E233482
|
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: Hawkins | Statement: [Etta James, familyName, Hawkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkins Context triple: [Etta James, familyName, Hawkins]
-
A.
Hawkins
chosen
Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
-
B.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
C.
Holbrook
Holbrook is a village and civil parish in the county of Derbyshire in the East Midlands of England.
-
D.
Holbrook
Holbrook is the surname of Hal Holbrook, the acclaimed American actor known for his portrayal of Mark Twain and numerous film and television roles.
-
E.
Haydon
Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc60489c881908b0ba76d2075bc89 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f379bbc8190b085b82e2e16401e |
completed | March 9, 2026, 8:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.