Triple
T13854793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakrat |
E333034
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mathias Wakrat |
E1067467
|
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: Mathias Wakrat | Statement: [Wakrat, hasMember, Mathias Wakrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathias Wakrat Context triple: [Wakrat, hasMember, Mathias Wakrat]
-
A.
Mathias Wakrat
chosen
Mathias Wakrat is a musician best known as the drummer for the rock band Future User.
-
B.
Mathias Brugman
Mathias Brugman was a prominent Puerto Rican revolutionary of Dutch-Curaçaoan descent who became one of the principal organizers and leaders of the island’s 1868 independence uprising against Spanish rule.
-
C.
Mathias Vogel
Mathias Vogel is a supporting character in the 2018 action-adventure film "Tomb Raider," which reboots the cinematic adaptation of the popular video game franchise.
-
D.
Martin Haller
Martin Haller was a prominent German architect of the late 19th and early 20th centuries, known for designing major public and civic buildings in Hamburg.
-
E.
Kai Wiesinger
Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce6c0c3c8190911b56b20c9eb955 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:14 p.m.