Triple
T2447173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodwin Knight |
E53620
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Goodwin |
E53620
|
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: Goodwin | Statement: [Goodwin Knight, givenName, Goodwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodwin Context triple: [Goodwin Knight, givenName, Goodwin]
-
A.
Goodwin
chosen
Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
-
B.
Winston & Strawn
Winston & Strawn is a major international law firm headquartered in Chicago, known for its litigation, corporate, and regulatory practices.
-
C.
Greenberg
Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
-
D.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
-
E.
Waddell & Hardesty
Waddell & Hardesty was an American engineering and architectural firm known for designing major steel bridges and other large-scale infrastructure projects in the early 20th century.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca26502c81909ce8e9f8878f7a41 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0bd7a088190b635a8bac233c5cd |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.