Triple
T4659511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trollywood |
E102492
|
entity |
| Predicate | nicknamePattern |
P58262
|
FINISHED |
| Object | Hollywood-inspired nickname |
—
|
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-inspired nickname | Statement: [Trollywood, nicknamePattern, Hollywood-inspired nickname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknamePattern Context triple: [Trollywood, nicknamePattern, Hollywood-inspired nickname]
-
A.
notationPattern
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
B.
nicknameEmphasizes
Indicates that a nickname highlights or draws special attention to a particular characteristic, trait, or aspect of the entity it refers to.
-
C.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
D.
nicknameForRole
Indicates that one entity is an informal or alternative name commonly used to refer to a particular role or position represented by another entity.
-
E.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
- F. None of above. chosen
Provenance (4 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6328387c81909a500e694a739e6e |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:15 p.m.