Triple
T18548111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lip Gallagher |
E453289
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object | Kevin Ball |
—
|
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: Kevin Ball | Statement: [Lip Gallagher, closeFriend, Kevin Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Ball Context triple: [Lip Gallagher, closeFriend, Kevin Ball]
-
A.
Kevin Ball
chosen
Kevin Ball is a recurring comic-relief character from the Shameless franchise, known as the good-natured but often hapless bartender and friend of the Gallagher family.
-
B.
Dan Ball
Dan Ball is a conservative American television host and political commentator best known for anchoring the show "Real America with Dan Ball" on One America News Network (OANN).
-
C.
Martin Ball
Martin Ball is a British actor known for his work in theatre, television, and musical productions in the UK.
-
D.
Andrew Balls
Andrew Balls is a British economist and investment executive known for his senior leadership roles at the asset management firm PIMCO.
-
E.
Keith Burkinshaw
Keith Burkinshaw is an English football manager best known for his successful spell in charge of Tottenham Hotspur in the late 1970s and early 1980s.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534be2298819095f637065fc2724e |
completed | April 19, 2026, 8:02 p.m. |
Created at: April 10, 2026, 11:38 a.m.