Triple
T23111898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray Lensman |
E576341
|
entity |
| Predicate | characterRoleOfKimballKinnison |
P115276
|
FINISHED |
| Object | interstellar lawman |
—
|
LITERAL 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: interstellar lawman | Statement: [Gray Lensman, characterRoleOfKimballKinnison, interstellar lawman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfKimballKinnison Context triple: [Gray Lensman, characterRoleOfKimballKinnison, interstellar lawman]
-
A.
endedRoleAsKimHughes
Indicates that an entity stopped or concluded their role or portrayal as Kim Hughes.
-
B.
roleOfJoyceKinney
Indicates that the specified role or character is associated with or portrayed by Joyce Kinney.
-
C.
characterInWorkDescribedAs
chosen
Indicates that a character is portrayed or described in a particular way within a specific work.
-
D.
describesCharactersIn
Indicates that one entity provides a description or account of the characters that appear in another entity.
-
E.
roleOfJimKimsey
Indicates that the specified role or position is held by Jim Kimsey.
- F. None of above.
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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0f4d188190a9395074c630ab0d |
completed | April 29, 2026, 4:50 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:58 p.m.