Triple
T16539294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Apatow |
E401777
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love
Love is a Netflix romantic comedy-drama series created by Judd Apatow, Paul Rust, and Lesley Arfin that explores the ups and downs of modern relationships.
|
E579807
|
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: [Iris Apatow, notableWork, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Iris Apatow, notableWork, 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 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 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 a 2009 cover album by R&B group Boyz II Men featuring their renditions of classic love songs.
-
E.
Love
Love is a complex and multifaceted human emotion characterized by deep affection, attachment, and care for others.
- 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: [Iris Apatow, notableWork, Love]
Generated description
Love is a Netflix romantic comedy-drama series created by Judd Apatow, Paul Rust, and Lesley Arfin that explores the ups and downs of modern relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Target entity description: Love is a Netflix romantic comedy-drama series created by Judd Apatow, Paul Rust, and Lesley Arfin that explores the ups and downs of modern relationships.
-
A.
Love
chosen
Love is a Netflix romantic comedy-drama series that explores the complexities of modern relationships through the perspectives of two flawed protagonists.
-
B.
Love
"Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
-
C.
Love
"Love" is a stand-up comedy special by comedian Jordan Rock that showcases his laid-back style and observational humor.
-
D.
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.
-
E.
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.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ae169c81909a123b7dfe3fd906 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00684197b08190b53d7c1efbd3edd0 |
completed | May 10, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0068fa85448190aef06ff27fe16305 |
completed | May 10, 2026, 11:16 a.m. |
Created at: April 10, 2026, 5:15 a.m.