Triple
T18334889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Look What Love Has Done |
E439245
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object |
Junior
Junior is a musician best known for performing the song "Look What Love Has Done."
|
E1320655
|
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: Junior | Statement: [Look What Love Has Done, performer, Junior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junior Context triple: [Look What Love Has Done, performer, Junior]
-
A.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
B.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
C.
Junior
Junior is the unborn baby in Jesmyn Ward’s novel "Salvage the Bones," symbolizing both vulnerability and hope for the impoverished Southern Black family at the story’s center.
-
D.
Junior
Junior is a professional Colombian football club based in Barranquilla, known for its strong fan base and multiple national league titles.
-
E.
Junior zhuz
Junior zhuz is one of the three traditional tribal confederations of the Kazakh people, historically occupying western Kazakhstan and playing a key role in the region’s political and social structure.
- 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: Junior Triple: [Look What Love Has Done, performer, Junior]
Generated description
Junior is a musician best known for performing the song "Look What Love Has Done."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junior Target entity description: Junior is a musician best known for performing the song "Look What Love Has Done."
-
A.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
B.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
C.
Junior
Junior is the unborn baby in Jesmyn Ward’s novel "Salvage the Bones," symbolizing both vulnerability and hope for the impoverished Southern Black family at the story’s center.
-
D.
Junior
Junior is a professional Colombian football club based in Barranquilla, known for its strong fan base and multiple national league titles.
-
E.
Junior zhuz
Junior zhuz is one of the three traditional tribal confederations of the Kazakh people, historically occupying western Kazakhstan and playing a key role in the region’s political and social structure.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecc91148190aa820fcd466009ce |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d76c542881909d2592c2b4646ad5 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d80cbd708190b9b54ff85c5ec66c |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8a25460819090f1ffa15f05a716 |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:36 a.m.