Triple
T11307733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar |
E267757
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ammo |
E664064
|
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: Ammo | Statement: [Sugar, producer, Ammo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ammo Context triple: [Sugar, producer, Ammo]
-
A.
Ammo
chosen
Ammo is a music producer and songwriter known for working on pop and electronic tracks for major artists.
-
B.
Bullet
Bullet is the nickname of Bullet Rogan, a legendary Negro leagues baseball star renowned as one of the greatest two-way players in the sport’s history.
-
C.
Bullet
Bullet is a song featured on the soundtrack of the video game Blue Collar.
-
D.
Guns
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
-
E.
Grenade
"Grenade" is a pop-R&B ballad by Bruno Mars about unrequited love and emotional sacrifice, released as one of his breakthrough hit singles.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.