Triple
T35740659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Success and Likeability |
E1033022
|
entity |
| Predicate | appearsInBookGenre |
P37108
|
FINISHED |
| Object | popular management |
—
|
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: popular management | Statement: [Success and Likeability, appearsInBookGenre, popular management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInBookGenre Context triple: [Success and Likeability, appearsInBookGenre, popular management]
-
A.
literaryGenreOfWorkAppearedIn
Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
-
B.
bookCategory
chosen
Indicates the classification or genre category to which a given book belongs.
-
C.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
D.
hasGenreInFiction
Indicates that a work of fiction belongs to or is categorized under a specific literary genre.
-
E.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.