Triple
T28746791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemesis: The Death Star |
E731396
|
entity |
| Predicate | nicknameExplained |
P165785
|
FINISHED |
| Object | Nemesis is nicknamed the Death Star |
—
|
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: Nemesis is nicknamed the Death Star | Statement: [Nemesis: The Death Star, nicknameExplained, Nemesis is nicknamed the Death Star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameExplained Context triple: [Nemesis: The Death Star, nicknameExplained, Nemesis is nicknamed the Death Star]
-
A.
nickNameMeaning
Indicates that a nickname is associated with a particular meaning, interpretation, or significance.
-
B.
nicknameCoinedIn
Indicates that a particular nickname was first created, introduced, or came into use in a specified time or context.
-
C.
nicknameCategory
Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
-
D.
nicknameEmphasizes
Indicates that a nickname highlights or draws special attention to a particular characteristic, trait, or aspect of the entity it refers to.
-
E.
nameLiterallyMeans
Indicates that the literal meaning or direct translation of one entity’s name is given by the other 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 28, 2026, 6:05 a.m.