Triple
T15548941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Fuchs |
E370687
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Low Company |
E993133
|
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: Low Company | Statement: [Daniel Fuchs, notableWork, Low Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Low Company Context triple: [Daniel Fuchs, notableWork, Low Company]
-
A.
Low Company
chosen
Low Company is a crime-themed novel that served as the literary basis for the film "The Gangster."
-
B.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
C.
Lojinx
Lojinx is an independent British record label known for releasing power pop, indie, and alternative rock music.
-
D.
The Honest Toun
The Honest Toun is the traditional nickname of Musselburgh, a historic coastal town in East Lothian, Scotland, known for its long-standing civic pride and heritage.
-
E.
Hullabaloo
Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:08 a.m.