Triple
T10749803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana (1980 album) |
E253543
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Friend to Friend
"Friend to Friend" is a song by Diana Ross from her 1980 self-titled album.
|
E883963
|
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: Friend to Friend | Statement: [Diana (1980 album), hasPart, Friend to Friend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friend to Friend Context triple: [Diana (1980 album), hasPart, Friend to Friend]
-
A.
Circle of Friends
Circle of Friends is a 1995 romantic drama film, based on Maeve Binchy’s novel, in which Alan Cumming appears alongside Minnie Driver and Chris O’Donnell.
-
B.
Friends Will Be Friends
"Friends Will Be Friends" is a 1986 rock song by the British band Queen, known for its anthemic chorus celebrating loyalty and camaraderie.
-
C.
Friend of Mine
"Friend of Mine" is a track by The Notorious B.I.G. from his landmark 1994 debut hip-hop album *Ready to Die*.
-
D.
Thank You for Being a Friend
"Thank You for Being a Friend" is a pop song written and originally recorded by Andrew Gold, best known as the theme song for the television sitcom *The Golden Girls*.
-
E.
Our Friend
Our Friend is a 2019 drama film based on a true story, following a couple facing terminal illness and the selfless friend who moves in to support them and their family.
- 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: Friend to Friend Triple: [Diana (1980 album), hasPart, Friend to Friend]
Generated description
"Friend to Friend" is a song by Diana Ross from her 1980 self-titled album.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Friend to Friend Target entity description: "Friend to Friend" is a song by Diana Ross from her 1980 self-titled album.
-
A.
Circle of Friends
Circle of Friends is a 1995 romantic drama film, based on Maeve Binchy’s novel, in which Alan Cumming appears alongside Minnie Driver and Chris O’Donnell.
-
B.
Friends Will Be Friends
"Friends Will Be Friends" is a 1986 rock song by the British band Queen, known for its anthemic chorus celebrating loyalty and camaraderie.
-
C.
Friend of Mine
"Friend of Mine" is a track by The Notorious B.I.G. from his landmark 1994 debut hip-hop album *Ready to Die*.
-
D.
Thank You for Being a Friend
"Thank You for Being a Friend" is a pop song written and originally recorded by Andrew Gold, best known as the theme song for the television sitcom *The Golden Girls*.
-
E.
Our Friend
Our Friend is a 2019 drama film based on a true story, following a couple facing terminal illness and the selfless friend who moves in to support them and their family.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dbfe5f481908eed42328447b158 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23292f8c8190a52c94c03e7d476d |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.