Triple
T26673416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beginning and End of the Universe |
E672393
|
entity |
| Predicate | presenterProfession |
P72070
|
FINISHED |
| Object | theoretical physicist |
—
|
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: theoretical physicist | Statement: [The Beginning and End of the Universe, presenterProfession, theoretical physicist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presenterProfession Context triple: [The Beginning and End of the Universe, presenterProfession, theoretical physicist]
-
A.
presenterOccupation
chosen
Indicates that an entity serves in a specific professional role or job as a presenter.
-
B.
presenterField
Indicates that an entity serves as the presenter or speaker associated with a particular field, session, or content item.
-
C.
portrayedByProfession
Indicates that an entity is depicted or represented by someone acting in a specified professional capacity.
-
D.
primarySpeakersOccupation
Indicates the main or most common occupation held by the speakers of a given language.
-
E.
titleHolderProfession
Indicates that the profession or occupation of the entity holding a particular title is the specified value.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 3:14 a.m.