Triple
T16423570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther Dixon |
E398882
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Boys |
E374878
|
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: Boys | Statement: [Luther Dixon, notableWork, Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys Context triple: [Luther Dixon, notableWork, Boys]
-
A.
Boys
chosen
"Boys" is an early rock and roll song best known for its energetic recording by The Beatles, featuring Ringo Starr on lead vocals.
-
B.
Boys
"Boys" is a 2017 pop single by Charli XCX, best known for its catchy hook and a music video featuring numerous male celebrities in traditionally feminized, playful scenarios.
-
C.
Boys
Boys is a 2003 Tamil coming-of-age musical film directed by S. Shankar that follows a group of carefree college friends who form a band and navigate love, ambition, and societal pressures.
-
D.
Girls and Boys
"Girls and Boys" is an indie-pop album by singer-songwriter Ingrid Michaelson that helped bring her melodic, introspective style to a wider audience.
-
E.
BOY
BOY is the IATA airport code for Bobo-Dioulasso Airport, serving the city of Bobo-Dioulasso in Burkina Faso.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f911b88190b19de52a1f700af8 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c70aaa08190bf88210c0b491fc1 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.