Triple
T20469265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heywood Floyd |
E502140
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Floyd |
—
|
NE NERFINISHED |
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: Floyd | Statement: [Heywood Floyd, familyName, Floyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floyd Context triple: [Heywood Floyd, familyName, Floyd]
-
A.
Floyd
chosen
Floyd is a masculine given name of Welsh origin, commonly used in English-speaking countries.
-
B.
Floyd
Floyd is a track from the soundtrack of the video game "Food."
-
C.
Floyd
Floyd is a minor character in the 1993 crime film "True Romance," known for being the laid-back, perpetually stoned roommate played by Brad Pitt.
-
D.
Babi Floyd
Babi Floyd was an American singer and backing vocalist best known for his work with prominent rock and blues artists, including Keith Richards’ side project the X-Pensive Winos.
-
E.
Sleepy Floyd
Sleepy Floyd is a former American professional basketball guard best known for his standout NBA career in the 1980s, including an All-Star appearance and a record-setting playoff performance with the Golden State Warriors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995f753081909bbe03f7c251d9c1 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.