Triple
T19734514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Valerii |
E473941
|
entity |
| Predicate | servesOn |
P27674
|
FINISHED |
| Object | Raptor |
—
|
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: Raptor | Statement: [Sharon Valerii, servesOn, Raptor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raptor Context triple: [Sharon Valerii, servesOn, Raptor]
-
A.
Raptor
Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
-
B.
Raptor
Raptor is a steel inverted roller coaster at Cedar Point known for its intense inversions and high-speed, suspended-track design.
-
C.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
-
D.
Hawk
Hawk is a central protagonist in Terry Brooks' post-apocalyptic fantasy novel "Armageddon's Children," known for leading a group of street children called the Ghosts.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515d138c8190a4c4d112ed5756a3 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.