Triple
T20139034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur "Doc" Barker |
E491109
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Lloyd Barker |
—
|
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: Lloyd Barker | Statement: [Arthur "Doc" Barker, sibling, Lloyd Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Barker Context triple: [Arthur "Doc" Barker, sibling, Lloyd Barker]
-
A.
Lloyd Barker
chosen
Lloyd Barker was an American gangster best known as a member of the notorious Barker–Karpis crime gang during the early 20th century.
-
B.
Lloyd Warren
Lloyd Warren was an American architect and educator known for co-founding the Beaux-Arts Institute of Design in New York City.
-
C.
Lester Ballard
Lester Ballard is the violent, mentally unstable drifter and antihero at the center of Cormac McCarthy’s novel "Child of God," known for his descent into extreme depravity and isolation in rural Tennessee.
-
D.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
E.
Frank Barnes
Frank Barnes is the veteran railroad engineer portrayed by Denzel Washington in the 2010 action thriller film "Unstoppable," where he helps avert disaster by stopping a runaway train.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667698a188190869c18b925dba2ed |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.