Triple
T2918183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Byrd |
E78656
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Byrd |
E133607
|
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: Byrd | Statement: [Robert Byrd, familyName, Byrd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byrd Context triple: [Robert Byrd, familyName, Byrd]
-
A.
Byrd
chosen
Byrd is a variant spelling of the word "bird," often used as a surname or stylistic form.
-
B.
Wingo
Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
-
C.
Birdy
"Birdy" is a 1984 psychological war drama film, directed by Alan Parker and starring Matthew Modine and Nicolas Cage, about the intense post-Vietnam friendship between two traumatized young men.
-
D.
Bagley Wright
Bagley Wright was an American real estate developer and arts patron best known for helping finance and develop major Seattle landmarks and cultural institutions.
-
E.
George Swanson Starling
George Swanson Starling was a key African American migrant whose life story in the early and mid-20th century exemplifies the struggles and aspirations of the Great Migration chronicled in Isabel Wilkerson’s work.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a41b4c81909d8ace8ab270ed3c |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562c5b5081908026b3f590b03aca |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 8, 2026, 2:54 p.m.