Triple
T16276055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Farber |
E395129
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Farber |
E395129
|
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: Farber | Statement: [Sidney Farber, hasSurname, Farber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farber Context triple: [Sidney Farber, hasSurname, Farber]
-
A.
Farber
chosen
Farber is a surname most notably associated with Sidney Farber, a pioneering American pathologist often called the father of modern chemotherapy.
-
B.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
C.
Red Faber
Red Faber was a Hall of Fame Major League Baseball pitcher best known for his long career with the Chicago White Sox in the 1910s and 1920s.
-
D.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
-
E.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460d30608190a721aa845fcf7cf6 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c2b9688190b96d62d83a03f158 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.