Triple
T469651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidelberg Catechism |
E8526
|
entity |
| Predicate | partTitle |
P2765
|
FINISHED |
| Object |
Misery
Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
|
E58682
|
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: Misery | Statement: [Heidelberg Catechism, partTitle, Misery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misery Context triple: [Heidelberg Catechism, partTitle, Misery]
-
A.
Misery
Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
-
B.
Carrie
"Carrie" is Stephen King's debut horror novel, centered on a bullied teenage girl with telekinetic powers who exacts a devastating revenge on her tormentors.
-
C.
The Shining
The Shining is a 1977 horror novel by Stephen King that follows a troubled writer who becomes the winter caretaker of an isolated, malevolent hotel that slowly drives him to madness.
-
D.
Black Sunday
Black Sunday was a catastrophic 1935 dust storm during the Dust Bowl that turned daytime skies black and became one of the era’s most infamous environmental disasters.
-
E.
Salem's Lot
Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
- 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: Misery Triple: [Heidelberg Catechism, partTitle, Misery]
Generated description
Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Misery Target entity description: Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
-
A.
Misery
Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
-
B.
Carrie
"Carrie" is Stephen King's debut horror novel, centered on a bullied teenage girl with telekinetic powers who exacts a devastating revenge on her tormentors.
-
C.
The Shining
The Shining is a 1977 horror novel by Stephen King that follows a troubled writer who becomes the winter caretaker of an isolated, malevolent hotel that slowly drives him to madness.
-
D.
Black Sunday
Black Sunday was a catastrophic 1935 dust storm during the Dust Bowl that turned daytime skies black and became one of the era’s most infamous environmental disasters.
-
E.
Salem's Lot
Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efee0ea0819099d87f3727c03bc7 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a45803a8c081908e5f5a03f462cd2e |
completed | March 1, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69a45d6f45a0819099ced2dc87124c2c |
completed | March 1, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a45e24f1308190b852050d56348f57 |
completed | March 1, 2026, 3:41 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.