Triple
T15416109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Wanna Rock |
E369235
|
entity |
| Predicate | chronologyNextSingle |
P2686
|
FINISHED |
| Object |
Pronto
"Pronto" is a hip hop single released by American rapper Snoop Dogg.
|
E1156149
|
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: Pronto | Statement: [I Wanna Rock, chronologyNextSingle, Pronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pronto Context triple: [I Wanna Rock, chronologyNextSingle, Pronto]
-
A.
Pronto
Pronto is a crime novel by Elmore Leonard that introduces the character U.S. Marshal Raylan Givens in a fast-paced story of mobsters, hitmen, and a bookie on the run.
-
B.
PRONTO
PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
-
C.
Rapido
Rapido is an Indian app-based bike taxi and logistics platform that offers affordable two-wheeler rides and deliveries in urban areas.
-
D.
Hasten
Hasten is a district of the German city of Remscheid, known for its historic buildings and traditional Bergisches architecture.
-
E.
On Call
"On Call" is a collection of essays by poet and activist June Jordan that blends personal narrative with incisive commentary on race, gender, politics, and social justice.
- 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: Pronto Triple: [I Wanna Rock, chronologyNextSingle, Pronto]
Generated description
"Pronto" is a hip hop single released by American rapper Snoop Dogg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pronto Target entity description: "Pronto" is a hip hop single released by American rapper Snoop Dogg.
-
A.
Pronto
Pronto is a crime novel by Elmore Leonard that introduces the character U.S. Marshal Raylan Givens in a fast-paced story of mobsters, hitmen, and a bookie on the run.
-
B.
PRONTO
PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
-
C.
Rapido
Rapido is an Indian app-based bike taxi and logistics platform that offers affordable two-wheeler rides and deliveries in urban areas.
-
D.
Hasten
Hasten is a district of the German city of Remscheid, known for its historic buildings and traditional Bergisches architecture.
-
E.
On Call
"On Call" is a collection of essays by poet and activist June Jordan that blends personal narrative with incisive commentary on race, gender, politics, and social justice.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7722a08190af230ecafda30b18 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b5a328c81909aaa74c6f002875c |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:20 a.m.