Triple
T11991422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Selick |
E285414
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Monkeybone |
E715731
|
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: Monkeybone | Statement: [Henry Selick, workedOn, Monkeybone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monkeybone Context triple: [Henry Selick, workedOn, Monkeybone]
-
A.
Monkeybone
chosen
Monkeybone is a 2001 dark fantasy–comedy film that blends live action and animation in a surreal story about a cartoonist trapped in a bizarre dream world.
-
B.
The Bones
"The Bones" is a hit country-pop song by American singer-songwriter Maren Morris, known for its metaphor-rich lyrics about the strength and resilience of a relationship.
-
C.
Wishbone
Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
-
D.
The Singing Bone
The Singing Bone is a dark Brothers Grimm fairy tale in which the murder of a younger brother is revealed when his bones are fashioned into a musical instrument that sings of the crime.
-
E.
Wish Bone
Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48abcf2588190a44e6e31e045b356 |
completed | May 1, 2026, 11:13 a.m. |
Created at: April 8, 2026, 9:46 p.m.