Triple
T3265605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Beard |
E68519
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Burn Gorman |
E9669
|
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: Burn Gorman | Statement: [Sarah Beard, spouse, Burn Gorman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burn Gorman Context triple: [Sarah Beard, spouse, Burn Gorman]
-
A.
Burn Gorman
chosen
Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
-
B.
Danny Huston
Danny Huston is an American actor and director known for his character roles in films such as "The Constant Gardener," "X-Men Origins: Wolverine," and "Wonder Woman."
-
C.
J.K. Simmons
J.K. Simmons is an American character actor known for his versatile performances in film and television, including roles in "Whiplash," the "Spider-Man" trilogy, and numerous acclaimed supporting parts.
-
D.
Brett Cullen
Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
-
E.
Michael York
Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcc99908190897230b4b71e2ea8 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e83a7a508190afd5342c79f3da9d |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:09 p.m.