Triple
T20183843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Benrubi |
E492801
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Outlaws |
—
|
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 Outlaws | Statement: [Abraham Benrubi, notableWork, The Outlaws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Outlaws Context triple: [Abraham Benrubi, notableWork, The Outlaws]
-
A.
The Outlaws
chosen
The Outlaws are an American Southern rock and country rock band best known for their twin-guitar harmonies and hits like "Green Grass & High Tides."
-
B.
The Outlaws
The Outlaws is a South Korean crime action film starring Ma Dong-seok as a tough detective battling gang violence in Seoul’s Chinatown.
-
C.
Outlaws
Outlaws is an American Southern rock band best known for its twin-guitar harmonies and hits like "Green Grass & High Tides."
-
D.
Outlaws
Outlaws is a British television drama series centered on the lives and cases of a group of duty solicitors and legal aid lawyers.
-
E.
Outlaws
"Outlaws" is a song by the American punk rock band Green Day from their 2016 album *Revolution Radio*.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.