Triple
T21569805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Amour fou |
E532254
|
entity |
| Predicate | mainTheme |
P261
|
FINISHED |
| Object |
mad love
Mad love is an intense, irrational, and often self-destructive form of romantic obsession that defies social norms and logical reasoning.
|
E1491342
|
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: mad love | Statement: [L’Amour fou, mainTheme, mad love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mad love Context triple: [L’Amour fou, mainTheme, mad love]
-
A.
Mad Love
"Mad Love" is a song featured on the British rock band Bush's 2017 album *Black and White Rainbows*.
-
B.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
-
C.
Mad Love
"Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
-
D.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
-
E.
Faire l’amour
Faire l’amour is a minimalist, introspective novel by Jean-Philippe Toussaint that dissects the end of a love affair through cool, detached prose and precise emotional observation.
- 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: mad love Triple: [L’Amour fou, mainTheme, mad love]
Generated description
Mad love is an intense, irrational, and often self-destructive form of romantic obsession that defies social norms and logical reasoning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: mad love Target entity description: Mad love is an intense, irrational, and often self-destructive form of romantic obsession that defies social norms and logical reasoning.
-
A.
Mad Love
"Mad Love" is a song featured on the British rock band Bush's 2017 album *Black and White Rainbows*.
-
B.
Mad Love
"Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
-
C.
Mad Love
"Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
-
D.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
-
E.
Faire l’amour
Faire l’amour is a minimalist, introspective novel by Jean-Philippe Toussaint that dissects the end of a love affair through cool, detached prose and precise emotional observation.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f6707578819095e5ac0312066df6 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f71df0308190b5953a76da60c6d4 |
completed | May 17, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f80784648190ae073b4db90032c1 |
completed | May 17, 2026, 5:16 p.m. |
Created at: April 16, 2026, 6:30 p.m.