Triple
T6001600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Byrd |
E133607
|
entity |
| Predicate | hasFamilyName |
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: [Charlie Byrd, hasFamilyName, Byrd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byrd Context triple: [Charlie Byrd, hasFamilyName, 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.
Ray Teal
Ray Teal was an American character actor best known for his prolific work in mid-20th-century film and television, including numerous Westerns and supporting roles in major Hollywood productions.
-
D.
Kitty Hawks
Kitty Hawks is an American interior designer and socialite known for her work in high-end residential design and her connections to prominent figures in film and fashion.
-
E.
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.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee7c0e08190a6e78969448b070a |
completed | March 22, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1355db96c8190b40b32b8d3a5dbdf |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:05 p.m.