Triple
T10432035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partition |
E245937
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andre Eric Proctor |
E245933
|
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: Andre Eric Proctor | Statement: [Partition, producer, Andre Eric Proctor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Eric Proctor Context triple: [Partition, producer, Andre Eric Proctor]
-
A.
Andre Eric Proctor
chosen
Andre Eric Proctor is a songwriter best known for co-writing the hit Beyoncé and Jay-Z track "Drunk in Love."
-
B.
Andre Proctor
Andre Proctor is a songwriter best known for co-writing the hit track "How to Love."
-
C.
Jay Proctor
Jay Proctor is an American soul singer best known as the lead vocalist of the 1960s group Jay & the Techniques, recognized for their hit "Apples, Peaches, Pumpkin Pie."
-
D.
Mark Proctor
Mark Proctor is an individual known primarily as a graduate of Hillsborough High School.
-
E.
Andrew Gant
Andrew Gant is a British composer, singer, author, and academic known for his work in choral music and his writings on the history of English church music and carols.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea64f12c81909861d0d5165da2a2 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb8c70481909b9320af15f2b5e9 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.