Triple
T2447167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodwin |
E53620
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Goodwin Knight |
E8186
|
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 Knight | Statement: [Goodwin, hasNotableBearer, Goodwin Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodwin Knight Context triple: [Goodwin, hasNotableBearer, Goodwin Knight]
-
A.
Goodwin Knight
chosen
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
-
B.
Knight of the Bath
The Knight of the Bath is a rank of knighthood within the British Order of the Bath, historically bestowed as a high honor for distinguished military or civil service.
-
C.
William Cornysh
William Cornysh was an English Renaissance composer and dramatist known for his influential sacred and secular music at the Tudor court.
-
D.
Sir Yvain
Sir Yvain is a knight of Arthurian legend, best known as the hero of Chrétien de Troyes’ romance "Yvain, the Knight of the Lion," where he exemplifies chivalry, adventure, and a close bond with a loyal lion companion.
-
E.
Lancelot the Lute
Lancelot the Lute is the medieval-themed knight mascot representing Pacific Lutheran University at its athletic events and campus activities.
- 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.