Triple
T13617010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Udall |
E325340
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | Simon Bishop |
E1051584
|
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: Simon Bishop | Statement: [Melvin Udall, interactsWith, Simon Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Bishop Context triple: [Melvin Udall, interactsWith, Simon Bishop]
-
A.
Simon Bishop
chosen
Simon Bishop is a gentle, gay artist and neighbor whose struggles with trauma and vulnerability form a key emotional arc in the film "As Good as It Gets."
-
B.
Chris Bishop
Chris Bishop is a television producer best known for his work as an executive producer on the ABC sitcom "The Goldbergs."
-
C.
Simon Bisley
Simon Bisley is a British comic book artist renowned for his dynamic, muscular style and influential work on titles like "Lobo" and "Judge Dredd."
-
D.
Simon Gage
Simon Gage is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gage.
-
E.
Keith Bishop
Keith Bishop is a socially awkward and bumbling accountant character from the British television mockumentary series "The Office."
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d41d1108190be5193b246845f07 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:50 p.m.