Triple
T16411257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bret Witter |
E398569
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Jeff Bauman |
E1112010
|
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 Bauman | Statement: [Bret Witter, coAuthorWith, Jeff Bauman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Bauman Context triple: [Bret Witter, coAuthorWith, Jeff Bauman]
-
A.
Jeff Bauman
chosen
Jeff Bauman is an American man who survived the 2013 Boston Marathon bombing and became widely known for his eyewitness account and subsequent memoir about the experience.
-
B.
Jon Bauman
Jon Bauman is an American musician and television personality best known for his role as "Bowzer" in the retro rock-and-roll group Sha Na Na.
-
C.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
D.
Ken Baumann
Ken Baumann is an American actor and writer best known for his starring role as Ben Boykewich on the television series "The Secret Life of the American Teenager."
-
E.
Tim Sullivan
Tim Sullivan is a screenwriter best known for co-writing the romantic drama film "Letters to Juliet."
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32874a0cc8190874aea10b1d13004 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c66d41481909340f247f6e5393f |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.