Triple
T3495763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Dyke Parks |
E73845
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jump! |
E73852
|
NE FINISHED |
How this triple was built (2 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: Jump! | Statement: [Van Dyke Parks, notableWork, Jump!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jump! Context triple: [Van Dyke Parks, notableWork, Jump!]
-
A.
Jump!
chosen
Jump! is a 1984 concept album by American composer Van Dyke Parks that blends orchestral pop and storytelling, inspired by the tales of Uncle Remus.
-
B.
Boom!
"Boom!" is a song featured on the album "The Tipping Point."
-
C.
"Jump"
"Jump" is a 1992 hit hip-hop single by Kris Kross, produced and written by Jermaine Dupri, that became a chart-topping anthem of early ’90s rap.
-
D.
Attack!
Attack! is a 1956 American World War II drama film directed by Robert Aldrich, noted for its intense portrayal of battlefield cowardice and moral conflict within a U.S. Army unit.
-
E.
Jumpers
Jumpers is a 1972 philosophical comedy play by Tom Stoppard that blends murder mystery, acrobatics, and debates on morality and the existence of God.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373cce4008190beb010b171bc4940 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.