Triple
T14727674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. (album) |
E345985
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
V.I.P.
"V.I.P." is a song featured on the album "R." by R. Kelly.
|
E1115257
|
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: V.I.P. | Statement: [R. (album), hasTrack, V.I.P.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V.I.P. Context triple: [R. (album), hasTrack, V.I.P.]
-
A.
V.I.P.
V.I.P. is an action-comedy television series starring Pamela Anderson as the head of a glamorous bodyguard agency in Los Angeles.
-
B.
The V.I.P.s
The V.I.P.s is a 1963 British drama film set in a London airport, featuring an ensemble cast led by Richard Burton and Elizabeth Taylor and focusing on the intersecting personal crises of wealthy and powerful travelers.
-
C.
Hollywood Heights
Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
-
D.
Most Wanted
Most Wanted is a 1997 American action thriller film starring Keenen Ivory Wayans as a framed Marine sniper on the run from a government conspiracy.
-
E.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
- 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: V.I.P. Triple: [R. (album), hasTrack, V.I.P.]
Generated description
"V.I.P." is a song featured on the album "R." by R. Kelly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V.I.P. Target entity description: "V.I.P." is a song featured on the album "R." by R. Kelly.
-
A.
V.I.P.
V.I.P. is an action-comedy television series starring Pamela Anderson as the head of a glamorous bodyguard agency in Los Angeles.
-
B.
The V.I.P.s
The V.I.P.s is a 1963 British drama film set in a London airport, featuring an ensemble cast led by Richard Burton and Elizabeth Taylor and focusing on the intersecting personal crises of wealthy and powerful travelers.
-
C.
Hollywood Heights
Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
-
D.
Most Wanted
Most Wanted is a 1997 American action thriller film starring Keenen Ivory Wayans as a framed Marine sniper on the run from a government conspiracy.
-
E.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf099eaf48190b89032b6ac769e67 |
completed | May 8, 2026, 2:18 p.m. |
| NEDg | Description generation | batch_69fdf20f3f0c81909052226a1fb8f165 |
completed | May 8, 2026, 2:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf30dab20819085589da4e869fb7e |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:29 a.m.