Triple
T6427254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Room |
E128089
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Henry Myers |
E529555
|
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: Henry Myers | Statement: [The Black Room, screenwriter, Henry Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Myers Context triple: [The Black Room, screenwriter, Henry Myers]
-
A.
Henry Myers
chosen
Henry Myers was an American screenwriter best known for his work on classic Hollywood films in the 1930s and 1940s.
-
B.
Henry McMorran
Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
-
C.
Henry Sherwin
Henry Sherwin was an American businessman best known as the co-founder of the Sherwin-Williams Company, a major paint and coatings manufacturer.
-
D.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
-
E.
Lewis Jones
Lewis Jones was a prominent 19th-century Welsh settler and leader of the Welsh colony in Patagonia, Argentina.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06920cef48190a884df8f12987a0d |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e339108190bbb74c688de574cc |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.