Triple
T8084547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Rockford |
E188697
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object | Dennis Becker |
E711188
|
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: Dennis Becker | Statement: [Jim Rockford, closeFriend, Dennis Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Becker Context triple: [Jim Rockford, closeFriend, Dennis Becker]
-
A.
Dennis Becker
chosen
Dennis Becker is a recurring character on the television series "The Rockford Files," serving as Jim Rockford’s long-suffering but loyal friend and contact within the Los Angeles Police Department.
-
B.
Ben Becker
Ben Becker is a German actor known for his intense screen presence and roles in both film and theater.
-
C.
Glen Becker
Glen Becker is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
D.
Joe Becker
Joe Becker is a computer scientist best known as a co-founder of the Unicode Consortium and an early architect of the Unicode character encoding standard.
-
E.
Richard Becker
Richard Becker was a German theoretical physicist known for his influential work in statistical mechanics, solid-state physics, and as an academic mentor to prominent scientists.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415e61ac81909e924aea69a7ff77 |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde709d3188190b3a954a613c3c5b2 |
completed | April 2, 2026, 3:48 a.m. |
Created at: March 30, 2026, 5:29 p.m.