Triple
T17170836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Spanger |
E416726
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Becker |
E686162
|
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: Becker | Statement: [Amy Spanger, notableWork, Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becker Context triple: [Amy Spanger, notableWork, 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.
Brecher
Brecher is a surname most notably associated with American screenwriter and television producer Irving Brecher, known for his work in early Hollywood comedies.
-
D.
F. Becker
F. Becker was a mountaineer known for participating in the first ascent of the Lenzspitze in the Swiss Alps.
-
E.
Bek
Bek is a short or informal given name, typically used as a diminutive of Rebekah.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc097950819095631ee5679e03af |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483f85648190acaeb197013e1f1b |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.