Triple
T35349440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Beautifully Human: Words and Sounds Vol. 2" |
E1020835
|
entity |
| Predicate | hasSeriesTitleElement |
P71619
|
FINISHED |
| Object | Words and Sounds Vol. 2 |
—
|
NE NERFINISHED |
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: Words and Sounds Vol. 2 | Statement: ["Beautifully Human: Words and Sounds Vol. 2", hasSeriesTitleElement, Words and Sounds Vol. 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesTitleElement Context triple: ["Beautifully Human: Words and Sounds Vol. 2", hasSeriesTitleElement, Words and Sounds Vol. 2]
-
A.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
B.
seriesTitleElement
chosen
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
C.
hasSeriesElement
Indicates that something is a member or component within an ordered series associated with another entity.
-
D.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
E.
hasFullNameInSeriesTitle
Indicates that an entity’s complete name appears explicitly within the title of the series it is associated with.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 3, 2026, 4:03 p.m.