Triple
T33563738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Ltd. |
E859696
|
entity |
| Predicate | foundedByNotableWorkField |
P112872
|
FINISHED |
| Object | Hollywood costume design |
—
|
LITERAL 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: Hollywood costume design | Statement: [Adrian Ltd., foundedByNotableWorkField, Hollywood costume design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedByNotableWorkField Context triple: [Adrian Ltd., foundedByNotableWorkField, Hollywood costume design]
-
A.
foundedByNotableWork
chosen
Indicates that an entity (such as an organization, movement, or initiative) was established as a result of, or is directly based on, a particular notable work (such as a book, film, or other significant creation).
-
B.
hasFounderNotableWork
Indicates that a work is a notable creation or achievement of the founder of the referenced entity.
-
C.
foundedByNobelLaureate
Indicates that the entity was established or created by a person who has received a Nobel Prize.
-
D.
foundedInField
Indicates that an entity established or created something (such as an organization, project, or work) within a particular professional, academic, or thematic field.
-
E.
foundedByOccupation
Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
- F. None of above.
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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 1, 2026, 1:40 a.m.