Triple
T20818461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoggle |
E512506
|
entity |
| Predicate | appearsWithCharacter |
P47747
|
FINISHED |
| Object | Sir Didymus |
—
|
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: Sir Didymus | Statement: [Hoggle, appearsWithCharacter, Sir Didymus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Didymus Context triple: [Hoggle, appearsWithCharacter, Sir Didymus]
-
A.
Sir Didymus
chosen
Sir Didymus is a brave, fox-terrier-like knight and one of the quirky companions in Jim Henson’s fantasy film "Labyrinth."
-
B.
Scotty the Scot
Scotty the Scot is the kilted Scottish warrior mascot representing Alma College’s Scottish heritage and athletic teams.
-
C.
Rowlf the Dog
Rowlf the Dog is a laid-back, piano-playing Muppet known for his dry humor and loyal, easygoing personality.
-
D.
John Bunny
John Bunny was a pioneering American silent film comedian and one of the earliest screen stars, renowned for his work in early 1910s comedy shorts.
-
E.
Peter Pig
Peter Pig is a supporting cartoon pig character from early Disney animations, notably appearing alongside Donald Duck in classic shorts.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.