Triple
T23332312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Journal |
E591478
|
entity |
| Predicate | officialJournalOf |
P5999
|
FINISHED |
| Object | ASTRO |
—
|
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: ASTRO | Statement: [Red Journal, officialJournalOf, ASTRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASTRO Context triple: [Red Journal, officialJournalOf, ASTRO]
-
A.
ASTRO
chosen
ASTRO is the leading professional organization in the United States for radiation oncologists and other specialists involved in radiation therapy for cancer and other diseases.
-
B.
Astro
Astro is the lovable, talking family dog in the animated television series "The Jetsons."
-
C.
Astro
Astro is the nickname of Astro Teller, an American entrepreneur, scientist, and author best known as the head of X (formerly Google X), Alphabet’s experimental “moonshot factory.”
-
D.
Astro
Astro was a British musician and vocalist best known as a longtime member of the reggae and pop band UB40.
-
E.
Astro
Astro is a South Korean rapper, singer, and actor best known as a member of the boy group UB40 and for his distinctive toasting style.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eecc5c81908089eb43bc701196 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:15 p.m.