Triple
T4978615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire and Ice |
E111827
|
entity |
| Predicate | hasFamousOpeningLine |
P829
|
FINISHED |
| Object | Some say the world will end in fire |
—
|
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: Some say the world will end in fire | Statement: [Fire and Ice, hasFamousOpeningLine, Some say the world will end in fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousOpeningLine Context triple: [Fire and Ice, hasFamousOpeningLine, Some say the world will end in fire]
-
A.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
hasIconicLine
Indicates that an entity (such as a work or character) is associated with a particularly famous or memorable line of dialogue.
-
C.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
D.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
E.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.