Triple
T26673203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life Scientific |
E672388
|
entity |
| Predicate | interviewerProfession |
P35550
|
FINISHED |
| Object | 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: physicist | Statement: [The Life Scientific, interviewerProfession, physicist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interviewerProfession Context triple: [The Life Scientific, interviewerProfession, physicist]
-
A.
proposerOccupation
Indicates the occupation or professional role held by the entity acting as the proposer in a given context.
-
B.
memberProfession
chosen
Indicates that a member or individual holds or practices a particular profession or occupation.
-
C.
leftProfession
Indicates that an entity has stopped or abandoned a particular profession or occupation they previously held.
-
D.
titleHolderProfession
Indicates that the profession or occupation of the entity holding a particular title is the specified value.
-
E.
interviewedBy
Indicates that an entity is the subject of an interview conducted by 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 3:14 a.m.