Triple
T2758560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Fry |
E61163
|
entity |
| Predicate | coStarredWith |
P14987
|
FINISHED |
| Object | Hugh Laurie |
E69146
|
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: Hugh Laurie | Statement: [Stephen Fry, coStarredWith, Hugh Laurie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Laurie Context triple: [Stephen Fry, coStarredWith, Hugh Laurie]
-
A.
Hugh Laurie
chosen
Hugh Laurie is an English actor, comedian, musician, and writer best known internationally for his role as Dr. Gregory House in the television series "House."
-
B.
Jared Harris
Jared Harris is a British actor known for his character roles in film and television, including acclaimed performances in series like "Mad Men," "Chernobyl," and "The Crown."
-
C.
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.
-
D.
Tom Burke
Tom Burke is an English actor known for his roles in film and television, including playing Cormoran Strike in the BBC adaptation of J.K. Rowling's detective novels.
-
E.
Noah Wyle
Noah Wyle is an American actor best known for his role as Dr. John Carter on the medical drama "ER" and for leading roles in various science fiction and adventure television series and films.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbe2d9cc81909b041635ae793bc3 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:57 p.m.