Triple
T8831550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred and Ginger |
E210155
|
entity |
| Predicate | isNonOfficialName |
P13450
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fred and Ginger, isNonOfficialName, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonOfficialName Context triple: [Fred and Ginger, isNonOfficialName, true]
-
A.
notOfficialNameOf
chosen
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
B.
hasOfficialUNName
Indicates that an entity possesses an official name as formally recognized by the United Nations.
-
C.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
D.
hasOfficialNameVariant
Indicates that an entity has an alternative official form or version of its name.
-
E.
isUnofficiallyRegardedAs
Indicates that something or someone is commonly or informally considered to have a certain role, status, or identity, without any official recognition or formal designation.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604ed2b88190b4f53b34b5a438f7 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.