Triple
T8986696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Lucas |
E214684
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Red Dog |
E116137
|
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: Red Dog | Statement: [Josh Lucas, notableWork, Red Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Dog Context triple: [Josh Lucas, notableWork, Red Dog]
-
A.
Red Dog
chosen
Red Dog is a 2011 Australian comedy-drama film based on the true story of a wandering kelpie that unites a remote mining community in Western Australia.
-
B.
The Red Dogs
The Red Dogs is the popular nickname of Romanian football club Dinamo București, one of the country's most successful and passionately supported teams.
-
C.
Snow Dogs
Snow Dogs is a 2002 family comedy film in which a Miami dentist unexpectedly inherits a team of sled dogs in Alaska, leading to a series of fish-out-of-water adventures.
-
D.
Kangaroo Jack
Kangaroo Jack is a 2003 family comedy film about two friends who must deliver mob money in Australia, only to have it stolen by a mischievous kangaroo.
-
E.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0bdb05c8190bb1fb5f0272a450a |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:04 p.m.