Triple
T4453398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Please Me |
E97666
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
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."
|
E439794
|
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: [Please Please Me, hasPart, Misery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misery Context triple: [Please Please Me, hasPart, 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.
Misery
Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
-
C.
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.
-
D.
Carrie
Carrie is the charming and enigmatic American woman who becomes the central love interest in the British romantic comedy film "Four Weddings and a Funeral."
-
E.
Carrie
Carrie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Caroline or Carol.
- 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: [Please Please Me, hasPart, Misery]
Generated description
"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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Misery Target entity description: "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."
-
A.
Misery
Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
-
B.
Misery
Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
-
C.
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.
-
D.
Carrie
Carrie is the charming and enigmatic American woman who becomes the central love interest in the British romantic comedy film "Four Weddings and a Funeral."
-
E.
Carrie
Carrie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Caroline or Carol.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f49dc081908727af81b886c08d |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6138ea77881908381e9ea8ad2b7fe |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61465bb4081908a638a908c31c489 |
completed | March 15, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6156db4a081909054f7db172315e9 |
completed | March 15, 2026, 2:11 a.m. |
Created at: March 12, 2026, 11:33 p.m.