Triple
T1583055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bortus |
E34009
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Peter Macon |
E34010
|
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: Peter Macon | Statement: [Bortus, portrayedBy, Peter Macon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Macon Context triple: [Bortus, portrayedBy, Peter Macon]
-
A.
Peter Macon
chosen
Peter Macon is an American actor best known for playing the Moclan officer Lt. Cmdr. Bortus on the science fiction comedy-drama series "The Orville."
-
B.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
-
C.
Ian Hanmore
Ian Hanmore is a Scottish character actor known for his work in British film and television, including roles in series like Game of Thrones and Doctor Who.
-
D.
Stephen Norton
Stephen Norton is a mathematician known for his contributions to the theory of finite groups and the Monster group in particular.
-
E.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908ef80a48190bd5a8e51c65e5588 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51b2b4d4819093f2ae3759838757 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.