Triple
T11121305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life with Lucy |
E263021
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Kevin McGibbon |
E918501
|
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: Kevin McGibbon | Statement: [Life with Lucy, hasCharacter, Kevin McGibbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin McGibbon Context triple: [Life with Lucy, hasCharacter, Kevin McGibbon]
-
A.
Kevin McGibbon
chosen
Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
-
B.
John McMullen
John McMullen was a 19th-century Catholic bishop and civic leader known for his role in establishing educational and religious institutions in the American Midwest.
-
C.
Mark McGann
Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
-
D.
Neil Welliver
Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
-
E.
Michael Daley
Michael Daley is an Australian Labor Party politician who has served in senior roles in New South Wales state politics, including as a cabinet minister and former Opposition Leader.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af911b881908168f23a4918231c |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5427918f08190ac1fdf3e0aff036f |
completed | April 19, 2026, 9 p.m. |
Created at: April 8, 2026, 9:28 p.m.