Triple
T15566548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saberhagen |
E371130
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Bret Saberhagen |
E75897
|
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: Bret Saberhagen | Statement: [Saberhagen, usedBy, Bret Saberhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bret Saberhagen Context triple: [Saberhagen, usedBy, Bret Saberhagen]
-
A.
Bret Saberhagen
chosen
Bret Saberhagen is a former Major League Baseball pitcher best known for his Cy Young Award–winning seasons and World Series heroics in the 1980s.
-
B.
Brad Gilderman
Brad Gilderman is a music producer known for his work on the track "Have You Ever?".
-
C.
Sheldon Skinner
Sheldon Skinner is a rival of Mr. Burns in the animated television series "The Simpsons."
-
D.
Randall Batinkoff
Randall Batinkoff is an American actor known for his film and television roles since the 1980s, including prominent parts in teen dramas and romantic comedies.
-
E.
Kevin Leahy
Kevin Leahy is a name shared by several notable individuals, including professionals in fields such as music, sports, and academia.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.