Triple
T19686127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antares |
E472715
|
entity |
| Predicate | hasCompanion |
P22642
|
FINISHED |
| Object | Antares B |
—
|
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: Antares B | Statement: [Antares, hasCompanion, Antares B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antares B Context triple: [Antares, hasCompanion, Antares B]
-
A.
Antares
chosen
Antares is a bright red supergiant star, one of the largest and most luminous visible to the naked eye, located in the constellation Scorpius.
-
B.
Antares
Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
-
C.
Antares
Antares is a medium-lift orbital launch vehicle developed primarily by Northrop Grumman to deliver cargo missions to the International Space Station and other low Earth orbit payloads.
-
D.
Antares launch vehicle
The Antares launch vehicle is a medium-lift rocket primarily used to deliver cargo to the International Space Station under NASA’s Commercial Resupply Services program.
-
E.
Ares Express
Ares Express is a science fiction novel by Ian McDonald set on a far-future, terraformed Mars, blending adventure, surreal imagery, and rich world-building.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420c3f50819082b64b1fa4335e56 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:45 p.m.