Triple
T4452225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heed Cosey |
E97638
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object |
Love
"Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
|
E444830
|
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: Love | Statement: [Heed Cosey, appearsIn, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Heed Cosey, appearsIn, Love]
-
A.
Love
"Love" is an essay by Ralph Waldo Emerson that explores the nature, spiritual significance, and transformative power of romantic affection and human connection.
-
B.
Love
Love is a 2003 novel by Toni Morrison that explores the intertwined lives of several women connected by their relationships to a charismatic, deceased hotel owner.
-
C.
Love
Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
-
D.
Love
"Love" is a smooth, neo-soul R&B song by Musiq Soulchild that became one of his signature hits in the early 2000s.
-
E.
LOVE
LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
- 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: Love Triple: [Heed Cosey, appearsIn, Love]
Generated description
"Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Target entity description: "Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
-
A.
Love
Love is a 2003 novel by Toni Morrison that explores the intertwined lives of several women connected by their relationships to a charismatic, deceased hotel owner.
-
B.
Love
"Love" is an essay by Ralph Waldo Emerson that explores the nature, spiritual significance, and transformative power of romantic affection and human connection.
-
C.
Love
Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
-
D.
Love
"Love" is a smooth, neo-soul R&B song by Musiq Soulchild that became one of his signature hits in the early 2000s.
-
E.
LOVE
LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
- 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_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b31c9488190bc24f802fff24073 |
completed | March 15, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b66c8e50a4819083ff234d01e7f249 |
completed | March 15, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66e3b620c8190adeeadb941fde62d |
completed | March 15, 2026, 8:30 a.m. |
Created at: March 12, 2026, 11:33 p.m.