Triple
T7192430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Newcomb |
E167725
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Newcomb |
E167725
|
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: Newcomb | Statement: [Simon Newcomb, hasSurname, Newcomb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newcomb Context triple: [Simon Newcomb, hasSurname, Newcomb]
-
A.
Newcomb
chosen
Newcomb is a surname most notably associated with Simon Newcomb, a 19th-century Canadian-American astronomer and mathematician.
-
B.
Livermore
Livermore is a city in California’s Tri-Valley region known for its wine country, historic downtown, and proximity to major scientific research facilities.
-
C.
Ballard
Ballard is a surname most notably associated with Robert Ballard, the American oceanographer who discovered the wreck of the RMS Titanic.
-
D.
Dixon
Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
-
E.
Kimball
Kimball is the northern terminal station of Chicago's CTA Brown Line, serving the Albany Park neighborhood with rail connections to downtown.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e901ea1481908a9e44f96dd4b553 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.