Triple
T4741205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. J. Corey |
E105244
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | John C. Sheehan |
E313118
|
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: John C. Sheehan | Statement: [E. J. Corey, doctoralAdvisor, John C. Sheehan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John C. Sheehan Context triple: [E. J. Corey, doctoralAdvisor, John C. Sheehan]
-
A.
John C. Sheehan
chosen
John C. Sheehan was an American organic chemist best known for achieving the first complete laboratory synthesis of penicillin.
-
B.
John Sheehan
John Sheehan was an actor known for his roles in early 20th-century American films, including the silent-era production "The Secret Code."
-
C.
Peter S. Seaman
Peter S. Seaman is an American screenwriter best known for co-writing major Hollywood films such as "Who Framed Roger Rabbit" and "Shrek the Third."
-
D.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
E.
Alan S. Boyd
Alan S. Boyd was an American lawyer and public official who became the first U.S. Secretary of Transportation, helping to shape national transportation policy in the late 1960s.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a5f3548190a6acf1dcfd64d11d |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43af63c48190a8d2751de4e9eee7 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:19 p.m.