Triple
T9113969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Dear |
E218673
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Food of Love
Food of Love is a stage play by British dramatist Nick Dear, best known for its witty exploration of relationships and emotional entanglements.
|
E779289
|
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: Food of Love | Statement: [Nick Dear, notableWork, Food of Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food of Love Context triple: [Nick Dear, notableWork, Food of Love]
-
A.
Making Love
"Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
-
B.
Our Love
"Our Love" is a song featured on Donna Summer's influential disco album "Bad Girls."
-
C.
The One You Love
"The One You Love" is a song by Rufus Wainwright, known for its lush orchestration and introspective, emotionally charged lyrics.
-
D.
Ready to Love
Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
-
E.
Livin’ on Love
"Livin’ on Love" is a popular country song by American singer-songwriter Alan Jackson that celebrates enduring love over material wealth.
- 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: Food of Love Triple: [Nick Dear, notableWork, Food of Love]
Generated description
Food of Love is a stage play by British dramatist Nick Dear, best known for its witty exploration of relationships and emotional entanglements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Food of Love Target entity description: Food of Love is a stage play by British dramatist Nick Dear, best known for its witty exploration of relationships and emotional entanglements.
-
A.
Making Love
"Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
-
B.
Our Love
"Our Love" is a song featured on Donna Summer's influential disco album "Bad Girls."
-
C.
The One You Love
"The One You Love" is a song by Rufus Wainwright, known for its lush orchestration and introspective, emotionally charged lyrics.
-
D.
Ready to Love
Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
-
E.
Livin’ on Love
"Livin’ on Love" is a popular country song by American singer-songwriter Alan Jackson that celebrates enduring love over material wealth.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84c209c8190b082a9b8499bedf7 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0305eb6e081908edba0ddab25e209 |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d032eb2e708190b2d265ad7b49d084 |
completed | April 3, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0337057048190af062152688599a1 |
completed | April 3, 2026, 9:38 p.m. |
Created at: March 30, 2026, 7:16 p.m.