Triple
T1907979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pet Sematary |
E38045
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jud Crandall
Jud Crandall is a central character in Stephen King’s horror novel "Pet Sematary," known as the elderly neighbor who reveals the dark secrets of the cursed burial ground.
|
E212362
|
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: Jud Crandall | Statement: [Pet Sematary, mainCharacter, Jud Crandall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jud Crandall Context triple: [Pet Sematary, mainCharacter, Jud Crandall]
-
A.
Ross Nordeen
Ross Nordeen is a professional associated with xAI, Elon Musk’s artificial intelligence company.
-
B.
Wayne Brown
Wayne Brown is a New Zealand businessman and politician who serves as the Mayor of Auckland.
-
C.
Buddy Baker
Buddy Baker was an American composer best known for his extensive work on Disney film scores and theme park attractions.
-
D.
Ed Exley
Ed Exley is an ambitious, morally conflicted LAPD detective whose pursuit of justice and integrity drives much of the intrigue and character drama in *L.A. Confidential*.
-
E.
Cliff Illig
Cliff Illig is an American businessman and co-founder of Cerner Corporation who became a principal owner and executive leader of the Major League Soccer club Sporting Kansas City.
- 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: Jud Crandall Triple: [Pet Sematary, mainCharacter, Jud Crandall]
Generated description
Jud Crandall is a central character in Stephen King’s horror novel "Pet Sematary," known as the elderly neighbor who reveals the dark secrets of the cursed burial ground.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jud Crandall Target entity description: Jud Crandall is a central character in Stephen King’s horror novel "Pet Sematary," known as the elderly neighbor who reveals the dark secrets of the cursed burial ground.
-
A.
Ross Nordeen
Ross Nordeen is a professional associated with xAI, Elon Musk’s artificial intelligence company.
-
B.
Wayne Brown
Wayne Brown is a New Zealand businessman and politician who serves as the Mayor of Auckland.
-
C.
Buddy Baker
Buddy Baker was an American composer best known for his extensive work on Disney film scores and theme park attractions.
-
D.
Ed Exley
Ed Exley is an ambitious, morally conflicted LAPD detective whose pursuit of justice and integrity drives much of the intrigue and character drama in *L.A. Confidential*.
-
E.
Cliff Illig
Cliff Illig is an American businessman and co-founder of Cerner Corporation who became a principal owner and executive leader of the Major League Soccer club Sporting Kansas City.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafb063481908a08f5570acc5b57 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adec22c5e48190af85fa4a1d4c5d8d |
completed | March 8, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec9a840c8190a03f4de0f03a0e10 |
completed | March 8, 2026, 9:39 p.m. |
Created at: March 4, 2026, 7:35 p.m.