Triple
T32007231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Hughes |
E817301
|
entity |
| Predicate | hasBiographicalGenre |
P30869
|
FINISHED |
| Object | medical 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: medical biography | Statement: [Elizabeth Hughes, hasBiographicalGenre, medical biography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBiographicalGenre Context triple: [Elizabeth Hughes, hasBiographicalGenre, medical biography]
-
A.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
B.
hasBiographicalStyle
Indicates that something is characterized by or presented in a biographical manner or style.
-
C.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
D.
hasBiographicalSubjectRole
Indicates that a role is the biographical subject of a biographical work or account.
-
E.
genreOfBiographicalDepiction
chosen
Indicates that one entity is the genre category assigned to a biographical depiction (such as a biographical film, book, or artwork) about 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 12:15 a.m.