Triple
T13839641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kareem "Biggs" Burke |
E332620
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Biggs |
E573218
|
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: Biggs | Statement: [Kareem "Biggs" Burke, hasNickname, Biggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biggs Context triple: [Kareem "Biggs" Burke, hasNickname, Biggs]
-
A.
Biggs
chosen
Biggs is a surname most notably associated with American actor Jason Biggs, known for his role in the "American Pie" film series.
-
B.
Bigge
Bigge is a river in North Rhine-Westphalia, Germany, known for flowing through the Sauerland region and feeding the Biggesee reservoir.
-
C.
Outram
Outram is a central district in Singapore known for its major medical facilities, heritage architecture, and proximity to the downtown core.
-
D.
Outram
Outram is an English surname historically associated with several notable figures, including British military officers and public servants.
-
E.
Truscott
Truscott is an English-language surname borne by various notable individuals in fields such as politics, the military, and the arts.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ed7e8c81909ffed37f5b097188 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:13 p.m.