Triple
T26700539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Austin Freeman |
E673141
|
entity |
| Predicate | usedForensicScienceInFiction |
P170358
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [R. Austin Freeman, usedForensicScienceInFiction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForensicScienceInFiction Context triple: [R. Austin Freeman, usedForensicScienceInFiction, true]
-
A.
usesInvestigativeMethods
Indicates that an entity employs investigative techniques or procedures to gather information, analyze evidence, or uncover facts.
-
B.
fictionalDetective
Indicates that the subject is a detective character who exists only in fiction rather than in real life.
-
C.
usedInFictionalWork
Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
-
D.
inceptionInFiction
Indicates that one fictional work is introduced, depicted, or originates within the narrative of another fictional work.
-
E.
materialUsedInFiction
Indicates that a particular material (such as a substance or resource) is used, featured, or plays a role within a fictional work or narrative.
- F. None of above. chosen
Provenance (4 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 27, 2026, 3:31 a.m.