Triple
T21560848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fat of the Land |
E532019
|
entity |
| Predicate | hasEccentricCharacters |
P144247
|
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: [The Fat of the Land, hasEccentricCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEccentricCharacters Context triple: [The Fat of the Land, hasEccentricCharacters, true]
-
A.
hasHumanCharacters
Indicates that the subject includes or features characters that are human beings.
-
B.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
-
C.
hasElectronicCharacter
Indicates that something possesses qualities, properties, or behavior associated with electronics or electronic systems.
-
D.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
-
E.
hasImaginaryCharacter
Indicates that an entity includes, features, or is associated with a fictional or imaginary character.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e2db2c81908b965312c50d4354 |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:29 p.m.