Triple
T10647558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Cerf |
E250875
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Christopher Cerf |
E250875
|
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: Christopher Cerf | Statement: [Christopher Cerf, name, Christopher Cerf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Cerf Context triple: [Christopher Cerf, name, Christopher Cerf]
-
A.
Christopher Cerf
chosen
Christopher Cerf is an American writer, composer, and producer best known for his longtime creative work on Sesame Street and other educational media.
-
B.
Richard Lederer
Richard Lederer is a film producer best known for his work on major studio projects, including the horror sequel "Exorcist II: The Heretic."
-
C.
Michael Tolkin
Michael Tolkin is an American screenwriter, director, and novelist best known for works such as "The Player" and his contributions to critically acclaimed film and television projects.
-
D.
Peter Ochs
Peter Ochs was an 18th-century Swiss politician and reformer best known for helping to establish the Helvetic Republic.
-
E.
M.G. Siegler
M.G. Siegler is a technology writer and venture capitalist known for his work at TechCrunch and his investing role at Google Ventures (GV).
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe29b8081908eb13637e0475ba1 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a580d388190aea5edadd4afc0d1 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.