Triple
T10658471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Glyer |
E251158
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | File 770 |
E206636
|
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: File 770 | Statement: [Mike Glyer, notableWork, File 770]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: File 770 Context triple: [Mike Glyer, notableWork, File 770]
-
A.
File 770
chosen
File 770 is a long-running science fiction fanzine known for its extensive coverage of fandom news, conventions, and awards.
-
B.
Filer
Filer is a small city in southern Idaho’s Magic Valley region, known for its agricultural community and proximity to Twin Falls.
-
C.
File on 4
File on 4 is a long-running BBC Radio 4 investigative journalism programme known for in-depth reports on current affairs, public policy, and social issues.
-
D.
Dosar
Dosar is a 2006 Bengali drama film directed by Rituparno Ghosh that explores complex marital relationships and emotional infidelity.
-
E.
Paperwork
"Paperwork" is the debut studio album by American rapper T.I., showcasing his Southern hip hop style and lyrical themes of street life and success.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e01643a88190abc7c16fd0f85e53 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a8375bc8190a79c09ba2626ce50 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:07 p.m.