Triple
T3411018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MetLife |
E71892
|
entity |
| Predicate | previousSlogan |
P2585
|
FINISHED |
| Object | Have you met life today? |
—
|
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: Have you met life today? | Statement: [MetLife, previousSlogan, Have you met life today?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSlogan Context triple: [MetLife, previousSlogan, Have you met life today?]
-
A.
formerMotto
chosen
Indicates that a motto was previously used by an entity but is no longer its current motto.
-
B.
previousSponsor
Indicates that an entity formerly acted as a sponsor for another entity at some earlier time but no longer does so.
-
C.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
D.
previousSponsorshipName
Indicates that an entity had a different sponsorship name in the past, specifying what that prior sponsored name was.
-
E.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9094b2881909262e58a470ed9d0 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.