Triple
T20718485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Travis |
E509241
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Chris Connor in Becker |
—
|
NE NERFINISHED |
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: Chris Connor in Becker | Statement: [Nancy Travis, notableRole, Chris Connor in Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Connor in Becker Context triple: [Nancy Travis, notableRole, Chris Connor in Becker]
-
A.
Becker
Becker is a surname of German origin, commonly associated with individuals in German-speaking countries and their descendants worldwide.
-
B.
Becker
chosen
Becker is an American sitcom starring Ted Danson as a gruff but caring Bronx doctor, which aired on CBS from 1998 to 2004.
-
C.
Chris Connor
Chris Connor was an American jazz singer known for her cool, smoky vocal style and influential recordings in the 1950s and 1960s.
-
D.
Glen Becker
Glen Becker is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Kyle Beckerman
Kyle Beckerman is a retired American soccer midfielder best known for his long MLS career and leadership with Real Salt Lake and the U.S. national team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d39bec8190b3642b0d6d833375 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:25 p.m.