Triple
T15905360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Wingo |
E385697
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Manglehorn |
E1017881
|
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: Manglehorn | Statement: [David Wingo, notableWork, Manglehorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manglehorn Context triple: [David Wingo, notableWork, Manglehorn]
-
A.
Manglehorn
chosen
Manglehorn is a 2014 character-driven drama film directed by David Gordon Green and starring Al Pacino as a reclusive locksmith haunted by his past.
-
B.
The Hayemaker
The Hayemaker is the ring nickname of British former world heavyweight and cruiserweight boxing champion David Haye.
-
C.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
D.
The Elms
The Elms is a grand Gilded Age mansion in Newport, Rhode Island, renowned for its opulent architecture and historic significance as a former summer residence of the American elite.
-
E.
The Ghost in the Mill
"The Ghost in the Mill" is a short ghost story by Harriet Beecher Stowe that blends New England folklore with moral and religious themes.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565956588190ba4726a2879b677d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0535a808190983b4ff028826cbf |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.