Triple
T1768340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hype Williams |
E38814
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Belly |
E142177
|
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: Belly | Statement: [Hype Williams, notableWork, Belly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belly Context triple: [Hype Williams, notableWork, Belly]
-
A.
Belly
chosen
Belly is a 1998 crime drama film directed by Hype Williams and starring DMX and Nas, known for its stylized visuals and depiction of urban street life.
-
B.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
C.
My Humps
"My Humps" is a 2005 dance-pop and hip-hop single by the Black Eyed Peas, known for its catchy, repetitive hook and playful, sexually suggestive lyrics.
-
D.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
E.
Mama
"Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648bb44c81909245fb7ee23cb132 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4db1c48190a96f137db3e2f32c |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:31 p.m.