Triple
T13191349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward G. Hochuli |
E313993
|
entity |
| Predicate | genreOfDescription |
P14
|
FINISHED |
| Object | American football biography |
—
|
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: American football biography | Statement: [Edward G. Hochuli, genreOfDescription, American football biography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfDescription Context triple: [Edward G. Hochuli, genreOfDescription, American football biography]
-
A.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
B.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular collection.
-
C.
genreOfInspiration
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
D.
genre
chosen
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
E.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.