Triple
T12996779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Will Caster |
E322056
|
entity |
| Predicate | colleague |
P398
|
FINISHED |
| Object | Max Waters |
E322057
|
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: Max Waters | Statement: [Dr. Will Caster, colleague, Max Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Waters Context triple: [Dr. Will Caster, colleague, Max Waters]
-
A.
Max Waters
chosen
Max Waters is a leading artificial intelligence researcher whose consciousness becomes central to the plot of the science fiction film "Transcendence."
-
B.
Erik Dellums
Erik Dellums is an American actor and voice actor known for roles in projects like "The Wire" and the video game "Fallout 3."
-
C.
Christopher Wold Johnson
Christopher Wold Johnson is an American businessman and member of the Johnson & Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
D.
Mike Flood
Mike Flood is an American Republican politician and attorney serving as the U.S. Representative for Nebraska’s 1st congressional district.
-
E.
Roland Wilson
Roland Wilson is a central character in the sitcom "The Golden Palace," known for his role in the ensemble that continues the story of the original "Golden Girls" cast.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:45 p.m.