Triple
T6598628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Dodds |
E148539
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Baby Dodds |
E148539
|
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: Baby Dodds | Statement: [Baby Dodds, nickname, Baby Dodds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Dodds Context triple: [Baby Dodds, nickname, Baby Dodds]
-
A.
Baby Dodds
chosen
Baby Dodds was a pioneering early jazz drummer, best known for his influential work in New Orleans and Chicago with leading bands of the 1920s.
-
B.
Dum Dum Dugan
Dum Dum Dugan is a gruff, mustachioed World War II-era soldier and close ally of Nick Fury in Marvel Comics, renowned for his combat skills and leadership within elite military units.
-
C.
Booger McFarland
Booger McFarland is a former NFL defensive tackle who became a prominent American football television analyst and color commentator.
-
D.
Brad Dorros
Brad Dorros is a film and television producer known for his work on projects such as the thriller "The Fifth Estate."
-
E.
Snitz Edwards
Snitz Edwards was a Hungarian-American character actor of the silent film era, known for his comic and supporting roles in numerous Hollywood productions.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeeffdf0819090af7bba918bef84 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee20e1081908415cb505652b03f |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:56 p.m.