Triple
T7872159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children's Health Defense |
E182761
|
entity |
| Predicate | reasonForSocialMediaAction |
P19457
|
FINISHED |
| Object | violations of misinformation policies |
—
|
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: violations of misinformation policies | Statement: [Children's Health Defense, reasonForSocialMediaAction, violations of misinformation policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForSocialMediaAction Context triple: [Children's Health Defense, reasonForSocialMediaAction, violations of misinformation policies]
-
A.
motivationFor
chosen
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
-
B.
legalActionReason
Indicates the reason, cause, or grounds for which a particular legal action is initiated or taken.
-
C.
reasonForEvent
Indicates that one event occurs as a consequence of, or is motivated or explained by, another specified cause or reason.
-
D.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
E.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a6d93881908d68386e49bea1e3 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.