Triple
T10261284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerously in Love |
E240602
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Luther Hanes |
E240602
|
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: Luther Hanes | Statement: [Dangerously in Love, producer, Luther Hanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luther Hanes Context triple: [Dangerously in Love, producer, Luther Hanes]
-
A.
Luther Hanes
chosen
Luther Hanes is a music producer best known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
B.
Frederic L. Smith
Frederic L. Smith was an American industrialist and early automotive pioneer who played a key role in the creation and development of General Motors.
-
C.
H. G. Woodman
H. G. Woodman is an archaeologist known for leading excavations at the ancient Irish site of Emain Macha.
-
D.
Murphey Candler
Murphey Candler is a residential neighborhood in Brookhaven, Georgia, known for its large park, lake, and family-friendly suburban character.
-
E.
Luther Whitney
Luther Whitney is the aging master thief and central protagonist of David Baldacci’s political thriller "Absolute Power," whose discovery of a deadly secret inside the White House puts his life in jeopardy.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f1500c819089d569dbfce705b8 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:32 a.m.