Triple
T17245259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Ingston |
E418606
|
entity |
| Predicate | employs |
P7
|
FINISHED |
| Object | Dr. Tim Mason |
E418608
|
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: Dr. Tim Mason | Statement: [Kurt Ingston, employs, Dr. Tim Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Tim Mason Context triple: [Kurt Ingston, employs, Dr. Tim Mason]
-
A.
Dr. Tim Mason
chosen
Dr. Tim Mason is a fictional scientist character from the 1942 horror film "Night Monster."
-
B.
Dr. Nigel Townsend
Dr. Nigel Townsend is a witty and eccentric forensic pathologist on the television series "Crossing Jordan," known for his sharp intellect and dark sense of humor.
-
C.
Dr. Mark Clyne
Dr. Mark Clyne is the central protagonist of the sci-fi action film "Spectral," a brilliant DARPA scientist who investigates mysterious ghost-like entities threatening soldiers in a war-torn city.
-
D.
Dr. Steven Kiley
Dr. Steven Kiley is a young, idealistic physician who serves as Marcus Welby’s modern-minded medical partner in the television series "Marcus Welby, M.D."
-
E.
Dr. Trevor Grant
Dr. Trevor Grant is a fictional scientist character portrayed by actor James Callis, known for his involvement in complex, high-stakes scientific scenarios.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e22fb2c8190aea5d3872095bf46 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f5582c81908efb7a369a096aeb |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.