Triple
T2159049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerously in Love |
E47959
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Walter Millsap III |
E220112
|
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: Walter Millsap III | Statement: [Dangerously in Love, producer, Walter Millsap III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Millsap III Context triple: [Dangerously in Love, producer, Walter Millsap III]
-
A.
Walter Millsap III
chosen
Walter Millsap III is an American record producer and songwriter known for his work with major R&B and pop artists.
-
B.
Matthew Rutler
Matthew Rutler is an American film production assistant and guitarist best known for his long-term relationship and marriage to singer Christina Aguilera.
-
C.
Caldwell Jones
Caldwell Jones was an American professional basketball center known for his defensive prowess and rebounding during a long ABA and NBA career in the 1970s and 1980s.
-
D.
Rob Mullens
Rob Mullens is a college athletics administrator best known for serving as the athletic director at the University of Oregon.
-
E.
Dale Miller
Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe6a412c8190ae632282650739d9 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d962a2c8190be1e3ae48367abad |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.