Triple
T21269105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why I Wake Early |
E524207
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object | Messenger |
—
|
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: Messenger | Statement: [Why I Wake Early, hasPoem, Messenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messenger Context triple: [Why I Wake Early, hasPoem, Messenger]
-
A.
Messenger
Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
-
B.
Messenger
Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
-
C.
Messenger
Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
-
D.
Messenger
chosen
"Messenger" is a notable poetic work by Russian poet and translator Arseny Tarkovsky, reflecting his characteristically profound and introspective style.
-
E.
Messenger
Messenger is a dystopian young adult novel by Lois Lowry that continues the story begun in The Giver and Gathering Blue, exploring themes of community, sacrifice, and the cost of true vision.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.