Triple
T10422549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peregrine White |
E245693
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Peregrine |
E770768
|
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: Peregrine | Statement: [Peregrine White, givenName, Peregrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peregrine Context triple: [Peregrine White, givenName, Peregrine]
-
A.
Peregrine
chosen
Peregrine is a given name of Latin origin meaning “traveler” or “pilgrim,” historically borne by several notable English aristocrats and clergymen.
-
B.
Peregrine White
Peregrine White was the first English child born to the Pilgrims in New England, arriving aboard the Mayflower in 1620.
-
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.
Gannet
The Gannet was the Royal Navy's designation for a variant of the American Grumman F6F Hellcat carrier-based fighter aircraft used during World War II.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2cd0788190b904ccdc251a9b7a |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2160208190b6384190d9537df4 |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 6, 2026, 12:12 p.m.