Triple
T36095568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behemoth |
E1044047
|
entity |
| Predicate | designStudio |
P96064
|
FINISHED |
| Object |
Legacy Effects
Legacy Effects is a renowned Hollywood special effects and creature design studio known for its practical effects, animatronics, and character creations for major films and television productions.
|
E2169246
|
NE FINISHED |
How this triple was built (3 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: Legacy Effects | Statement: [Behemoth, designStudio, Legacy Effects]
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: Legacy Effects Triple: [Behemoth, designStudio, Legacy Effects]
Generated description
Legacy Effects is a renowned Hollywood special effects and creature design studio known for its practical effects, animatronics, and character creations for major films and television productions.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designStudio Context triple: [Behemoth, designStudio, Legacy Effects]
-
A.
designBureau
Indicates that an entity functions as a design bureau responsible for planning, developing, or engineering designs for another entity or project.
-
B.
hasDesignStudio
chosen
Indicates that an entity owns, operates, or is associated with a design studio.
-
C.
projectionDesignBy
Indicates that a projection or projected visual element is created or designed by a particular agent or designer.
-
D.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
E.
designCollaboration
Indicates a collaborative relationship in which two or more entities jointly participate in the design process or co-create a design outcome.
- F. None of above.
Provenance (6 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_69f76e32d60c8190ba781ffaaab4aa3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38d548b13c81908ec69adcf5642e98 |
completed | June 22, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_6a38d64468f08190ba160ebe4a354e0a |
completed | June 22, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38d6c863988190b3dd7550bd38880d |
completed | June 22, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:08 p.m.