Triple
T7287869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apples, Peaches, Pumpkin Pie |
E163919
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jay Proctor |
E653550
|
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: Jay Proctor | Statement: [Apples, Peaches, Pumpkin Pie, performer, Jay Proctor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Proctor Context triple: [Apples, Peaches, Pumpkin Pie, performer, Jay Proctor]
-
A.
Jay Proctor
chosen
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."
-
B.
Andre Proctor
Andre Proctor is a songwriter best known for co-writing the hit track "How to Love."
-
C.
Andre Eric Proctor
Andre Eric Proctor is a songwriter best known for co-writing the hit Beyoncé and Jay-Z track "Drunk in Love."
-
D.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
E.
Jay Acovone
Jay Acovone is an American actor known for his work in television and film, including prominent roles in series like "Stargate SG-1" and various guest appearances across popular TV shows.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eedfa4d08190997a692b81309309 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 2:59 p.m.