Triple
T31200728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lange |
E795467
|
entity |
| Predicate | usedToSeparate |
P176763
|
FINISHED |
| Object | Michael Crichton’s early thrillers from his later mainstream novels |
—
|
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: Michael Crichton’s early thrillers from his later mainstream novels | Statement: [John Lange, usedToSeparate, Michael Crichton’s early thrillers from his later mainstream novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToSeparate Context triple: [John Lange, usedToSeparate, Michael Crichton’s early thrillers from his later mainstream novels]
-
A.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
B.
separatedIn
Indicates that two or more entities, once together or associated, have been divided, split, or otherwise placed into distinct parts, groups, or locations.
-
C.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
-
D.
separatesAt
Indicates that one entity divides or splits another entity into distinct parts at a specific point, boundary, or location.
-
E.
separationMethod
Indicates the technique or process used to separate one substance, component, or entity from another.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 29, 2026, 9:09 p.m.