Triple
T15329933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boss |
E366505
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Ben Zajac |
E1150008
|
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: Ben Zajac | Statement: [Boss, hasCharacter, Ben Zajac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Zajac Context triple: [Boss, hasCharacter, Ben Zajac]
-
A.
Ben Zajac
chosen
Ben Zajac is a young, ambitious Chicago politician who emerges as a key rival to Mayor Tom Kane in the TV series "Boss."
-
B.
Al Schmid
Al Schmid was a highly decorated U.S. Marine and World War II hero whose story of bravery and resilience was dramatized in the film "Pride of the Marines."
-
C.
John Paul Bucyk
John Paul "Johnny" Bucyk is a Hall of Fame Canadian ice hockey left winger best known for his long and prolific career with the Boston Bruins in the NHL.
-
D.
Ray Ploshansky
Ray Ploshansky is a cynical, neurotic coffee shop manager and central supporting character on the television series "Girls," known for his complicated relationships and sharp, often abrasive wit.
-
E.
Adam Oates
Adam Oates is a Canadian former professional ice hockey center and Hall of Famer renowned as one of the NHL’s greatest playmakers and assist leaders.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ecb904819082454622dcd77556 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.