Triple
T11874971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawke |
E282502
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hawk |
E93787
|
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: Hawk | Statement: [Hawke, hasVariant, Hawk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawk Context triple: [Hawke, hasVariant, Hawk]
-
A.
Hawk
chosen
The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
-
B.
Hawk
Hawk is the nickname of Coleman Hawkins, a pioneering American jazz tenor saxophonist widely regarded as one of the key figures in the development of modern jazz.
-
C.
Kestrel
Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
-
D.
Kestrel
Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
-
E.
The Hawk
The Hawk was the nickname of Connie Hawkins, a Hall of Fame American basketball player renowned for his spectacular leaping ability and creative, acrobatic play.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1a22448190bd0722188c14d7bd |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281cac9a48190b4b0f4c53b41110f |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.