Triple
T21377404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Goldstein |
E527247
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Buggsy |
—
|
NE NERFINISHED |
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: Buggsy | Statement: [Martin Goldstein, nickname, Buggsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buggsy Context triple: [Martin Goldstein, nickname, Buggsy]
-
A.
Buggsy
chosen
Buggsy is the nickname of Martin "Buggsy" Goldstein, an American mobster associated with organized crime in the early 20th century.
-
B.
Tum-Tum
Tum-Tum is the youngest, food-loving and comedic brother in the Three Ninjas film series, known for his energetic personality and martial arts skills.
-
C.
Buddy the Bat
Buddy the Bat is the costumed bat mascot of the Louisville Bats minor league baseball team, entertaining fans at their games and events.
-
D.
Snagglepuss
Snagglepuss is a pink, theatrical mountain lion cartoon character from Hanna-Barbera, known for his flamboyant personality and catchphrases like "Heavens to Murgatroyd!"
-
E.
Roscoe the Lion
Roscoe the Lion is the official lion mascot representing The College of New Jersey at its athletic events and campus activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0c8768c8190ad7cddf5cd1d06f7 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.