Triple
T305925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If You’re Out There |
E6299
|
entity |
| Predicate | message |
P2798
|
FINISHED |
| Object | call for people around the world to take action |
—
|
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: call for people around the world to take action | Statement: [If You’re Out There, message, call for people around the world to take action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: message Context triple: [If You’re Out There, message, call for people around the world to take action]
-
A.
messageHandling
Indicates how messages are received, processed, and responded to within a communication or messaging system.
-
B.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
C.
communicationChannel
chosen
Indicates a medium or method through which information is transmitted between parties.
-
D.
firstMessageTo
Indicates that one entity is the initial sender of a message or communication to another entity.
-
E.
firstMessageFrom
Indicates that the related message is the earliest or initial message sent from one entity to another within a given context or conversation.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93db11881909b07ba5e76d91feb |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.