Triple
T6867542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Dooley |
E158445
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | "Jobs" (2013 film) |
E236199
|
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: "Jobs" (2013 film) | Statement: [Mark Dooley, notableWork, "Jobs" (2013 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Jobs" (2013 film) Context triple: [Mark Dooley, notableWork, "Jobs" (2013 film)]
-
A.
Jobs (2013 film)
chosen
Jobs (2013 film) is a biographical drama depicting the life and career of Apple co-founder Steve Jobs, with Josh Gad co-starring as Steve Wozniak.
-
B.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
C.
The Job
The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
-
D.
Inside Job
Inside Job is a 2000 studio album by American singer-songwriter Don Henley, marking his first solo release in over a decade and featuring reflective, socially conscious rock songs.
-
E.
Inside Job
Inside Job is a Hugo Award–winning science fiction novella by Connie Willis that satirically explores skepticism, pseudoscience, and the paranormal.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a793a481909340239c065393a4 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74292922c8190a0d3ee6f74ff672c |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.