Triple
T7135573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Goldman |
E166297
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Misery |
E37480
|
NE 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: Misery | Statement: [William Goldman, notableWork, Misery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misery Context triple: [William Goldman, notableWork, Misery]
-
A.
Misery
Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
-
B.
Misery
chosen
Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
-
C.
Misery
"Misery" is a song by the Beatles, written primarily by John Lennon with contributions from Paul McCartney, and released on their 1963 debut album "Please Please Me."
-
D.
The Stranger Beside Me
The Stranger Beside Me is a psychological thriller novel by British author Caroline England, exploring dark secrets and hidden tensions within seemingly ordinary relationships.
-
E.
Misery Business
"Misery Business" is a breakthrough pop-punk/emo song by American rock band Paramore, widely recognized for propelling them to mainstream popularity in the late 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e690f954819084b81a555f4cdb5e |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a348a748819082f87039ea79f251 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.