Triple
T9432290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William L. "Red" Whittaker |
E227410
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whittaker |
E147626
|
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: Whittaker | Statement: [William L. "Red" Whittaker, familyName, Whittaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whittaker Context triple: [William L. "Red" Whittaker, familyName, Whittaker]
-
A.
Whittaker
chosen
Whittaker is a surname of English and Scottish origin borne by various notable individuals across fields such as science, sports, and the arts.
-
B.
Whitaker
Whitaker is an English surname commonly borne by individuals in the United Kingdom and the United States, associated with various notable figures across politics, sports, and the arts.
-
C.
Red Whittaker
Red Whittaker is a pioneering American roboticist known for his groundbreaking work in field robotics, autonomous vehicles, and planetary exploration systems.
-
D.
Woolsey
Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
-
E.
Fisher
Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e6059bc8190a7e98aef3caabd0b |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104033c08190a3670b017bd984d5 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.