Triple
T19508383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari Games |
E488085
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | Paperboy |
—
|
NE NERFINISHED |
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: Paperboy | Statement: [Atari Games, developed, Paperboy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paperboy Context triple: [Atari Games, developed, Paperboy]
-
A.
Paperboy
chosen
Paperboy is an American rapper best known for his 1992 hit single "Ditty," which achieved significant chart success in the early 1990s.
-
B.
Getback
Getback is a critically acclaimed hip-hop album by the group Little Brother, showcasing Phonte's lyricism and mature, soulful production.
-
C.
Daddy
"Daddy" is a critically acclaimed 1989 Indian drama film featuring Anupam Kher in one of his most celebrated roles, portraying an alcoholic father seeking redemption and reconciliation with his daughter.
-
D.
Daddy
"Daddy" is a song featured on the album *Wanderland* by American singer-songwriter Kelis.
-
E.
Daddy
"Daddy" is a popular jazz and pop standard from the early 1940s, best known through recordings by artists like Sammy Kaye and Julie London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351426448190aec1ee26c09faa24 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.