Triple
T8849385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Sermanet |
E210596
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Rob Fergus |
E470958
|
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: Rob Fergus | Statement: [Pierre Sermanet, coAuthorWith, Rob Fergus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Fergus Context triple: [Pierre Sermanet, coAuthorWith, Rob Fergus]
-
A.
Rob Fergus
chosen
Rob Fergus is a computer scientist and researcher in machine learning and computer vision, known for his influential work in deep learning and academic leadership in AI.
-
B.
Kevin Fagan
Kevin Fagan is the American cartoonist best known as the creator of the long-running comic strip "Drabble."
-
C.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
D.
Mitch Rouse
Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
-
E.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60abb0748190af41d4e1f419e39c |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0171e98a081909875c96defaf9bfa |
completed | April 3, 2026, 7:38 p.m. |
Created at: March 30, 2026, 6:49 p.m.