Triple
T35001371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lane Dean Jr. |
E1009688
|
entity |
| Predicate | workStatusOfAppearsIn |
P39444
|
FINISHED |
| Object | unfinished novel |
—
|
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: unfinished novel | Statement: [Lane Dean Jr., workStatusOfAppearsIn, unfinished novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workStatusOfAppearsIn Context triple: [Lane Dean Jr., workStatusOfAppearsIn, unfinished novel]
-
A.
workStatusInCanon
Indicates whether the entity’s work or role is considered part of the official, accepted canon within a given narrative or continuity.
-
B.
worksStatus
chosen
Indicates the current state or condition of an entity’s work or project, such as whether it is planned, in progress, completed, or otherwise categorized.
-
C.
settingOfWorkAppearsIn
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
-
D.
appearsInWorkByTitle
Indicates that an entity appears in, is featured in, or is contained within a work identified by its title.
-
E.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:01 p.m.