Triple
T8162222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan Fraser |
E190601
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Monkeybone
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.
|
E715731
|
NE FINISHED |
How this triple was built (4 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: [Brendan Fraser, notableWork, Monkeybone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monkeybone Context triple: [Brendan Fraser, notableWork, Monkeybone]
-
A.
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.
-
B.
Wishbone
Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
-
C.
Wish Bone
Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
-
D.
Monster Mule
Monster Mule is a ginger-flavored energy drink variant in the Monster Energy product lineup.
-
E.
To the Bone
To the Bone is a 2017 drama film about a young woman’s struggle with anorexia, written and directed by Marti Noxon and starring Lily Collins.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Monkeybone Triple: [Brendan Fraser, notableWork, Monkeybone]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monkeybone Target entity description: 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.
-
A.
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.
-
B.
Wishbone
Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
-
C.
Wish Bone
Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
-
D.
Monster Mule
Monster Mule is a ginger-flavored energy drink variant in the Monster Energy product lineup.
-
E.
To the Bone
To the Bone is a 2017 drama film about a young woman’s struggle with anorexia, written and directed by Marti Noxon and starring Lily Collins.
- F. None of above. chosen
Provenance (5 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4556b45c819089eb15ad027b036a |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf35000c8190ba78f69b7b1290e8 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc311d4e8819080f4aeef8ee7dc3b |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd83115fc8190a3e276bed0a00926 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:38 p.m.