Triple
T25462821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawking family |
E638096
|
entity |
| Predicate | hasBiographicalWorkAboutMember |
P103598
|
FINISHED |
| Object | Travelling to Infinity: My Life with Stephen |
—
|
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: Travelling to Infinity: My Life with Stephen | Statement: [Hawking family, hasBiographicalWorkAboutMember, Travelling to Infinity: My Life with Stephen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBiographicalWorkAboutMember Context triple: [Hawking family, hasBiographicalWorkAboutMember, Travelling to Infinity: My Life with Stephen]
-
A.
hasBiographicalWork
chosen
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
B.
isBiographerOf
Indicates that one person has written a biography about another person.
-
C.
biographyWrittenBy
Indicates that a biography about a person or entity was authored by a specific writer.
-
D.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
E.
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.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72d0cc08190ba91a9dc39b1d848 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:12 p.m.