Triple
T21763590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh Mercy |
E537222
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Shooting Star |
—
|
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: Shooting Star | Statement: [Oh Mercy, hasPart, Shooting Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shooting Star Context triple: [Oh Mercy, hasPart, Shooting Star]
-
A.
Shooting Star
"Shooting Star" is an Overwatch animated short focusing on the mech-piloting hero D.Va, showcasing her backstory and heroism in Busan.
-
B.
Shooting Star
chosen
"Shooting Star" is a pop-rock song by Owl City, featured on his 2012 album *The Midsummer Station*.
-
C.
Shooting Star
"Shooting Star" is a crime novel by Australian author Peter Temple, known for its gritty realism and tightly plotted suspense.
-
D.
Shooting Star
The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
-
E.
Shooting Star
Shooting Star is the NATO reporting name for the Lockheed F-80, one of the first operational jet fighter aircraft used by the United States Air Force, notably during the early stages of the Korean War.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a711dc8190a786c9849dc344e8 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.