Triple
T5351359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heed |
E102585
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object |
Love
Love is a 2015 erotic drama film 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, appearsIn, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Heed, appearsIn, Love]
-
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 a smooth, neo-soul R&B song by Musiq Soulchild that became one of his signature hits in the early 2000s.
-
C.
Love
"Love" is a minimalist, introspective song by John Lennon from his 1970 solo album "John Lennon/Plastic Ono Band," known for its sparse arrangement and tender meditation on the nature of love.
-
D.
Love
Love is an American 1960s rock band from Los Angeles, best known for their influential psychedelic and folk-rock album "Forever Changes."
-
E.
Love
Love is a common English surname borne by various notable individuals across fields such as science, sports, and the arts.
- 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, appearsIn, Love]
Generated description
Love is a 2015 erotic drama film 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 by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
-
A.
Love
chosen
"Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
-
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 essay by Ralph Waldo Emerson that explores the nature, spiritual significance, and transformative power of romantic affection and human connection.
-
D.
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.
-
E.
Love
"Love" is a minimalist, introspective song by John Lennon from his 1970 solo album "John Lennon/Plastic Ono Band," known for its sparse arrangement and tender meditation on the nature of love.
- F. None of above.
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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd861188ac81908ef2b1f25cc6c864 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21d494b481909d7887cd85233815 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf230926348190b40f8a6105d64d54 |
completed | March 21, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf243319448190a30d6e8847d3f4b8 |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 2:01 p.m.