Triple
T2188691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahrenheit 451 |
E49811
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Granger
Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
|
E242304
|
NE FINISHED |
How this triple was built (4 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: Granger | Statement: [Fahrenheit 451, mainCharacter, Granger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granger Context triple: [Fahrenheit 451, mainCharacter, Granger]
-
A.
Granger
Granger is a surname most notably associated with former NBA All-Star forward Danny Granger.
-
B.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
-
E.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Granger Triple: [Fahrenheit 451, mainCharacter, Granger]
Generated description
Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granger Target entity description: Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
-
A.
Granger
Granger is a surname most notably associated with former NBA All-Star forward Danny Granger.
-
B.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
-
E.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
- F. None of above. chosen
Provenance (5 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf373c608190b7716c137b3e9fe9 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dada268819082ddc4acd58e19f3 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e5fe37c8190bcf73200d32f5faa |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ed1e3208190b46d5e8361c2a5f6 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.