Triple
T20215008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER |
E493594
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dr. John Carter |
—
|
NE NERFINISHED |
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: Dr. John Carter | Statement: [ER, mainCharacter, Dr. John Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. John Carter Context triple: [ER, mainCharacter, Dr. John Carter]
-
A.
Dr. John Carter
Dr. John Carter is a central fictional physician on the long-running medical drama series "ER," known for his evolution from idealistic medical student to seasoned doctor.
-
B.
John Carter
John Carter is a 2012 science fiction action film, based on Edgar Rice Burroughs' Barsoom novels, that follows a Civil War veteran mysteriously transported to Mars and caught in a planetary conflict.
-
C.
John Carter
John Carter was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
-
D.
John Carter
John Carter is a music producer best known for his work on Tina Turner’s landmark 1984 album "Private Dancer."
-
E.
John Carter
chosen
John Carter is a fictional physician and central character on the television series "ER," known for his long-term development from medical student to experienced doctor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.