Triple
T5342419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labyrinth |
E123973
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Hoggle
Hoggle is a gruff yet ultimately loyal dwarf-like creature from the fantasy film "Labyrinth," who helps guide the protagonist through the maze.
|
E512506
|
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: Hoggle | Statement: [Labyrinth, mainCharacter, Hoggle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoggle Context triple: [Labyrinth, mainCharacter, Hoggle]
-
A.
Mushu
Mushu is the small, wisecracking dragon who serves as Mulan’s comedic guardian and loyal companion in Disney’s animated film.
-
B.
Speegle
Speegle is the maiden surname of American character actress Jean Speegle Howard, mother of filmmaker Ron Howard.
-
C.
Thumpback
Thumpback is a whale-like Water Giant Skylander known for his massive anchor weapon and seafaring background in the Skylanders: Giants game.
-
D.
Brownie the Elf
Brownie the Elf is the Cleveland Browns’ traditional cartoon elf character that serves as one of the team’s primary mascots and symbols.
-
E.
Fezzik
Fezzik is the gentle giant and skilled but soft-hearted fighter who serves as a memorable companion in the fantasy adventure story "The Princess Bride."
- 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: Hoggle Triple: [Labyrinth, mainCharacter, Hoggle]
Generated description
Hoggle is a gruff yet ultimately loyal dwarf-like creature from the fantasy film "Labyrinth," who helps guide the protagonist through the maze.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoggle Target entity description: Hoggle is a gruff yet ultimately loyal dwarf-like creature from the fantasy film "Labyrinth," who helps guide the protagonist through the maze.
-
A.
Mushu
Mushu is the small, wisecracking dragon who serves as Mulan’s comedic guardian and loyal companion in Disney’s animated film.
-
B.
Speegle
Speegle is the maiden surname of American character actress Jean Speegle Howard, mother of filmmaker Ron Howard.
-
C.
Thumpback
Thumpback is a whale-like Water Giant Skylander known for his massive anchor weapon and seafaring background in the Skylanders: Giants game.
-
D.
Brownie the Elf
Brownie the Elf is the Cleveland Browns’ traditional cartoon elf character that serves as one of the team’s primary mascots and symbols.
-
E.
Fezzik
Fezzik is the gentle giant and skilled but soft-hearted fighter who serves as a memorable companion in the fantasy adventure story "The Princess Bride."
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1a5440d8819094a6da0282408b7b |
completed | March 21, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1abe1ea88190b681eb18bfa361d7 |
completed | March 21, 2026, 10:25 p.m. |
Created at: March 20, 2026, 2:01 p.m.