Triple
T10020416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Papa |
E200596
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tom Papa |
E200596
|
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: Tom Papa | Statement: [Tom Papa, name, Tom Papa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Papa Context triple: [Tom Papa, name, Tom Papa]
-
A.
Tom Papa
chosen
Tom Papa is an American stand-up comedian, actor, and radio host known for his observational humor and frequent film and television appearances.
-
B.
Eric Benét
Eric Benét is an American R&B and neo-soul singer, songwriter, and actor known for his smooth vocals and romantic ballads.
-
C.
Petey Pablo
Petey Pablo is an American rapper from North Carolina best known for early-2000s hits like "Raise Up" and "Freek-a-Leek."
-
D.
Paulie Litt
Paulie Litt is an American actor best known for his role as Spritle Racer in the live-action film adaptation of "Speed Racer" (2008).
-
E.
John Melvin
John Melvin was a Concord, Massachusetts native whose memory is honored by the Melvin Memorial, likely for his service and sacrifice, possibly in a military conflict.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd777b208190ad75eac79eec0c2f |
completed | April 2, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ab241848190a97dea745f6d2324 |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:53 p.m.