Triple
T7109506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Security, Territory, Population |
E165671
|
entity |
| Predicate | isPartOfSeriesByAuthor |
P67552
|
FINISHED |
| Object | Michel Foucault's lectures on governmentality |
—
|
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: Michel Foucault's lectures on governmentality | Statement: [Security, Territory, Population, isPartOfSeriesByAuthor, Michel Foucault's lectures on governmentality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfSeriesByAuthor Context triple: [Security, Territory, Population, isPartOfSeriesByAuthor, Michel Foucault's lectures on governmentality]
-
A.
seriesAuthor
Indicates that an entity is the author or primary creator of a series (such as a book, comic, or media series).
-
B.
literarySeriesPublisher
Indicates the publishing company responsible for producing or releasing a given literary series.
-
C.
hasPublicationSeries
Indicates that an entity is part of, or associated with, a particular publication series.
-
D.
collectionBySameAuthor
chosen
Indicates that multiple items in a collection are all created or authored by the same individual or entity.
-
E.
partOfCreativeCommonsReleaseSeries
Indicates that something belongs to or is included within a specific series of releases distributed under a Creative Commons license.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bcf3e08190bd8c6cf896c416c4 |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.