Triple
T12006457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Barbarians |
E285787
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Zigaboo Modeliste |
E960356
|
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: Zigaboo Modeliste | Statement: [The New Barbarians, hasNotableMember, Zigaboo Modeliste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zigaboo Modeliste Context triple: [The New Barbarians, hasNotableMember, Zigaboo Modeliste]
-
A.
Zigaboo Modeliste
chosen
Zigaboo Modeliste is an American drummer best known as a founding member of the funk band The Meters and as one of the most influential funk drummers of all time.
-
B.
Meccano
Meccano is a historic construction toy system made of metal strips, plates, gears, and nuts and bolts that allows users to build working mechanical models.
-
C.
Märklin
Märklin is a renowned German manufacturer of model railways and technical toys, known for its high-quality trains and detailed miniature systems.
-
D.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
-
E.
Modelland
Modelland is a young adult fantasy novel by supermodel Tyra Banks that satirically explores the world of modeling through a magical, dystopian academy.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d32b0608190b261567fbd4f415e |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.