Triple
T32664571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls and Boys |
E835122
|
entity |
| Predicate | helpedReachWiderAudienceFor |
P104827
|
FINISHED |
| Object | Ingrid Michaelson |
—
|
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: Ingrid Michaelson | Statement: [Girls and Boys, helpedReachWiderAudienceFor, Ingrid Michaelson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedReachWiderAudienceFor Context triple: [Girls and Boys, helpedReachWiderAudienceFor, Ingrid Michaelson]
-
A.
hasAudienceReach
Indicates the extent or scope of people or groups that are exposed to, can access, or are targeted by a particular entity, message, or activity.
-
B.
helpedBoostProminenceOf
chosen
Indicates that one entity contributed to increasing the visibility, recognition, or prominence of another entity.
-
C.
audienceImpact
Indicates how an action, message, or event affects, influences, or resonates with its intended audience.
-
D.
helpedEstablishMarketFor
Indicates that one entity played a significant role in creating, expanding, or enabling demand or commercial opportunities for another entity’s products, services, or activities.
-
E.
marketReach
Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:08 a.m.