Triple
T13109669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac |
E310936
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Luther McDonald |
E372541
|
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: Luther McDonald | Statement: [Mac, father, Luther McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luther McDonald Context triple: [Mac, father, Luther McDonald]
-
A.
Luther McDonald
chosen
Luther McDonald is the father of Mac (Ronald McDonald) in the TV show "It's Always Sunny in Philadelphia."
-
B.
Luther Dixon
Luther Dixon was an influential American songwriter and record producer best known for crafting numerous 1960s pop and R&B hits for artists like the Shirelles.
-
C.
Luther Fox
Luther Fox is a fictional character from the 2001 drama film "The Man from Elysian Fields," which explores themes of morality, relationships, and personal redemption.
-
D.
Lew Morton
Lew Morton is a television and film writer best known for his work on animated comedies such as Beavis and Butt-Head and Futurama.
-
E.
Luther Davis
Luther Davis was an American screenwriter and playwright known for his work on mid-20th-century film and stage 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a25c3b4819090511525babcd2ba |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:05 p.m.