Triple
T11319112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Townsend |
E268044
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | B*A*P*S |
E853456
|
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: B*A*P*S | Statement: [Robert Townsend, notableWork, B*A*P*S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B*A*P*S Context triple: [Robert Townsend, notableWork, B*A*P*S]
-
A.
B.A.P.S.
chosen
B.A.P.S. is a 1997 American comedy film about two Georgia waitresses who travel to Los Angeles with dreams of wealth and glamour, starring Halle Berry and Natalie Desselle.
-
B.
Bloc B
Bloc B is one of the main buildings within the Résidence Palace complex in Brussels, housing key European Union institutional facilities.
-
C.
Budda Beats
Budda Beats is a music producer and songwriter known for crafting hip-hop and trap instrumentals, including work on tracks like "Workin Me."
-
D.
DIA
The DIA (Defense Intelligence Agency) is the United States military’s primary foreign intelligence service, responsible for providing defense-related intelligence to policymakers, warfighters, and the intelligence community.
-
E.
DIA
DIA is a major art museum in Detroit, Michigan, renowned for its extensive collection spanning diverse cultures and historical periods, including celebrated European, American, and African American works.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.