Triple
T14607170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Scott |
E342860
|
entity |
| Predicate | notableNickname |
P25214
|
FINISHED |
| Object | Boomer |
E342860
|
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: Boomer | Statement: [George Scott, notableNickname, Boomer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boomer Context triple: [George Scott, notableNickname, Boomer]
-
A.
Boomer
Boomer is the costumed mascot of the Trenton Thunder minor league baseball team, known for entertaining fans with on-field antics and crowd interaction.
-
B.
Boomer
Boomer is the popular nickname of Norman "Boomer" Esiason, a former NFL quarterback and current sports broadcaster.
-
C.
Boomer
Boomer is a former secondary mascot of the NHL’s Columbus Blue Jackets, known for his cannon-inspired design and brief, controversial tenure.
-
D.
Boomer
chosen
Boomer was the nickname of George Scott, a powerful Major League Baseball first baseman known for his strong defense and home run hitting, primarily with the Boston Red Sox and Milwaukee Brewers.
-
E.
Boomer
Boomer is the well-known nickname of longtime ESPN sportscaster Chris Berman, famous for his energetic NFL coverage and colorful catchphrases.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91d05e48190ac945e381d6d5dd9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.