Triple
T21446136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Booth |
E529080
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Douglas Booth |
—
|
NE NERFINISHED |
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: Douglas Booth | Statement: [Douglas Booth, name, Douglas Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas Booth Context triple: [Douglas Booth, name, Douglas Booth]
-
A.
Douglas Booth
chosen
Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
-
B.
Patrick J. Adams
Patrick J. Adams is a Canadian actor best known for starring as brilliant college dropout-turned-law associate Mike Ross on the legal drama series "Suits."
-
C.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
D.
Patrick F. Adams
Patrick F. Adams is an American educator and entrepreneur best known as a co-founder of St. George's University, a prominent international medical school in Grenada.
-
E.
Lewis Pullman
Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.