Triple
T14336186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MET |
E355472
|
entity |
| Predicate | issuerFocusesOn |
P31
|
FINISHED |
| Object | life insurance |
—
|
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: life insurance | Statement: [MET, issuerFocusesOn, life insurance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerFocusesOn Context triple: [MET, issuerFocusesOn, life insurance]
-
A.
issuerESGFocus
Indicates that the issuer emphasizes or prioritizes environmental, social, and governance (ESG) factors in its activities or strategy.
-
B.
brandFocus
Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
-
C.
issuerSpecialization
Indicates the particular field, domain, or area of expertise in which the issuer is specialized.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
investigativeFocus
Indicates that an entity is the primary subject or target of investigation, inquiry, or detailed scrutiny 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:14 a.m.