Triple
T12001007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Denman |
E285659
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | Roy Anderson |
E788050
|
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: Roy Anderson | Statement: [David Denman, characterRole, Roy Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Anderson Context triple: [David Denman, characterRole, Roy Anderson]
-
A.
Roy Anderson
Roy Anderson is a British epidemiologist and academic leader known for his influential work in infectious disease modeling and his tenure heading major scientific institutions.
-
B.
Roy Anderson
chosen
Roy Anderson is a fictional warehouse worker and former fiancé of Pam Beesly on the U.S. television series "The Office."
-
C.
Herb Anderson
Herb Anderson is one of the founders of the Santa Fe Institute, a renowned research center focused on complex systems and interdisciplinary science.
-
D.
Bernard Anderson
Bernard Anderson was an American jazz trumpeter known for his work in the Kansas City jazz scene, including his tenure with the Jay McShann Orchestra.
-
E.
Tony Anderson
Tony Anderson is an athlete known for playing with the sports team The Warriors.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a76b0a48190800c5b3cc40308f3 |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:46 p.m.