Triple
T20997739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleak Moments |
E517193
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Les Blair |
—
|
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: Les Blair | Statement: [Bleak Moments, editedBy, Les Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Blair Context triple: [Bleak Moments, editedBy, Les Blair]
-
A.
Les Blair
chosen
Les Blair is a British film and television producer and director known for his work in socially realist drama.
-
B.
Seymour Parrish
Seymour Parrish is the lonely, obsessive photo technician portrayed by Robin Williams in the psychological thriller film "One Hour Photo."
-
C.
Pierre Ballard
Pierre Ballard was a notable member of the influential Ballard family of French music printers and publishers active from the Renaissance into the Baroque era.
-
D.
Carroll Rosenbloom
Carroll Rosenbloom was an American businessman and influential NFL team owner best known for owning the Baltimore Colts and later the Los Angeles Rams.
-
E.
Martin Lomasney
Martin Lomasney was a powerful early 20th-century Boston political boss and Democratic ward leader known for his influential role in the city’s machine politics.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.