Triple
T21384339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Kehler |
E527450
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Finder |
—
|
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: The Finder | Statement: [Jack Kehler, notableWork, The Finder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Finder Context triple: [Jack Kehler, notableWork, The Finder]
-
A.
The Finder
The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
-
B.
The Finder
chosen
The Finder is a short-lived American procedural drama series about an eccentric but gifted locator of missing people and objects, created as a spin-off from the TV show Bones.
-
C.
The Finder
The Finder is a story set in Ursula K. Le Guin’s Earthsea universe, included in the collection "Tales from Earthsea," that explores the early history of magic and the foundations of the Archipelagan school system.
-
D.
Macintosh Finder
Macintosh Finder is the graphical file management and desktop environment software for classic Mac OS, providing users with icons, windows, and menus to navigate and organize files.
-
E.
Le Mac
Le Mac is a French film associated with the production company La Petite Reine, known for its blend of crime and comedy elements.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f211c08190b3a129eaa725422e |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.