Triple
T16895581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Kramer |
E424290
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Kramer |
E424290
|
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: Jeff Kramer | Statement: [Jeff Kramer, name, Jeff Kramer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Kramer Context triple: [Jeff Kramer, name, Jeff Kramer]
-
A.
Jeff Kramer
chosen
Jeff Kramer is a prominent computer scientist recognized for his influential contributions to software engineering research.
-
B.
Chris Kramer
Chris Kramer is an American professional basketball player known for his impactful play as a guard in European leagues, particularly in Germany.
-
C.
Joe Kraemer
Joe Kraemer is an American film composer best known for his scores for action and thriller films, including several collaborations with director Christopher McQuarrie.
-
D.
Ted Kramer
Ted Kramer is the work-obsessed advertising executive and father whose struggle to raise his young son alone after his wife leaves him forms the emotional core of the film "Kramer vs. Kramer."
-
E.
Jim Krueger
Jim Krueger is an American comic book writer best known for his work on titles like "Earth X" and other Marvel and DC projects, often in collaboration with artist Alex Ross.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d7aec88190888f13601acbcd77 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45647f481908ae76a0b8fe8a9cb |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:29 a.m.