Triple
T13932255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pick, the Sickle and the Shovel |
E335020
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Frukwan |
E332363
|
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: Frukwan | Statement: [The Pick, the Sickle and the Shovel, producer, Frukwan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frukwan Context triple: [The Pick, the Sickle and the Shovel, producer, Frukwan]
-
A.
Frukwan
chosen
Frukwan is an American rapper best known as a member of the influential hardcore hip hop group Gravediggaz.
-
B.
Fruto
Fruto is a small unincorporated rural community located in Glenn County, California.
-
C.
Bananas
Bananas is a 1971 satirical comedy film directed by and starring Woody Allen, known for its absurd political humor and farcical take on revolution in a fictional Latin American country.
-
D.
Bananas
Bananas is a fictional bear character known as Bananas T. Bear, typically depicted in children’s entertainment or media.
-
E.
Frikat
Frikat is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdef1e4608190a137f340e06d5ddb |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:16 p.m.