Triple
T8781686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Barker |
E208744
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Lloyd Barker |
E497513
|
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: Lloyd Barker | Statement: [Fred Barker, sibling, Lloyd Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Barker Context triple: [Fred 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 Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
C.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
D.
Lester Burdon
Lester Burdon is a conflicted police officer whose personal and moral struggles drive much of the tension and tragedy in the novel and film "House of Sand and Fog."
-
E.
Eddie Barker
Eddie Barker is a powerful and manipulative music executive in the TV series "Empire," who becomes a major antagonist to Lucious Lyon.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f55b7b08190ab3e18cd634a144b |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1bbf6b881909bc154caa2fcadbe |
completed | April 3, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:42 p.m.