Triple
T8084481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8 Simple Rules |
E188695
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Jim Egan |
E729171
|
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: Jim Egan | Statement: [8 Simple Rules, hasCharacter, Jim Egan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Egan Context triple: [8 Simple Rules, hasCharacter, Jim Egan]
-
A.
Jim Egan
chosen
Jim Egan is a character from the sitcom "8 Simple Rules," known as the quirky and often meddling grandfather in the family.
-
B.
Gerald Geraghty
Gerald Geraghty was an American screenwriter known for his work on mid-20th-century Western films.
-
C.
David Egan
David Egan is a film editor known for his work on animated features such as DC League of Super-Pets.
-
D.
Gene Keady
Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
-
E.
Tom Keogh
Tom Keogh was a noted costume designer best known for his work in mid-20th-century theatre and film productions.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415e61ac81909e924aea69a7ff77 |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce020086788190be74e8e97d87013d |
completed | April 2, 2026, 5:43 a.m. |
Created at: March 30, 2026, 5:29 p.m.