Triple
T3241222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilo & Stitch |
E67968
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Kevin McDonald |
E247544
|
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 McDonald | Statement: [Lilo & Stitch, voiceActor, Kevin McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin McDonald Context triple: [Lilo & Stitch, voiceActor, Kevin McDonald]
-
A.
Kevin McDonald
chosen
Kevin McDonald is a Canadian comedian, actor, and writer best known as one of the founding members of the sketch comedy troupe The Kids in the Hall.
-
B.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Kevin McKenzie
Kevin McKenzie is an American ballet dancer, choreographer, and influential leader best known for his long tenure guiding American Ballet Theatre’s artistic direction.
-
E.
Rich McKay
Rich McKay is an American football executive best known for his long tenure in NFL leadership roles, including as a team executive and influential member of league committees.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef76d908190815bb456e366ee0a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38babb044819098f887ac4fb0bab2 |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:08 p.m.