Triple
T10471089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Darkest Minds |
E246921
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Mark O'Brien |
E71143
|
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: Mark O'Brien | Statement: [The Darkest Minds, castMember, Mark O'Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark O'Brien Context triple: [The Darkest Minds, castMember, Mark O'Brien]
-
A.
Mark O'Brien
chosen
Mark O'Brien is an American actor best known for his roles in television series such as City on a Hill and Halt and Catch Fire, as well as various film and independent projects.
-
B.
Mark O’Brien
Mark O’Brien is an American local politician who has served as the mayor of Augusta, Maine.
-
C.
Eric Vail
Eric Vail is a former Canadian professional ice hockey left winger best known for his scoring prowess with the Atlanta Flames in the 1970s, including winning the Calder Memorial Trophy as NHL rookie of the year in 1975.
-
D.
Stephen Gleason
Stephen Gleason is an individual notable enough to be specifically distinguished as a bearer of the surname Gleason.
-
E.
Harry Keller
Harry Keller was an American film editor and director known for his work on numerous mid-20th-century Hollywood productions.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.