Triple
T8722702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventura |
E207049
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | King James |
E139424
|
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: King James | Statement: [Ventura, hasPart, King James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King James Context triple: [Ventura, hasPart, King James]
-
A.
King James
chosen
King James is the widely used nickname for LeBron James, one of the greatest and most influential basketball players in NBA history.
-
B.
Royal James
Royal James was a 17th-century English warship of the Royal Navy that served prominently during the Anglo-Dutch Wars.
-
C.
Stephen, King of England
Stephen, King of England, was a 12th-century monarch whose contested claim to the throne led to a prolonged civil war known as The Anarchy.
-
D.
Edward
Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
-
E.
Richard
Richard is a common masculine given name of Germanic origin, widely used in English-speaking countries.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d0609f48190adc56226724b16c6 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf290001108190a90784b13a0a25b1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.