Triple
T4736445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 17 |
E105137
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Checkmark Nebula |
E465449
|
NE 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: Checkmark Nebula | Statement: [Messier 17, alsoKnownAs, Checkmark Nebula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Checkmark Nebula Context triple: [Messier 17, alsoKnownAs, Checkmark Nebula]
-
A.
Checkmark Nebula
chosen
The Checkmark Nebula is a bright star-forming emission nebula in the constellation Sagittarius, notable for its distinctive shape and association with the Omega Nebula (M17) region.
-
B.
Nebula
Nebula is a cybernetically enhanced alien assassin and former daughter of Thanos who becomes a key member of the Guardians of the Galaxy in the Marvel Cinematic Universe.
-
C.
Nebula
Nebula is an independent, creator-owned streaming platform focused on educational and documentary-style content from popular online video creators.
-
D.
Nebulastar
Nebulastar is a film production company known for its involvement in the making of the 2019 science fiction thriller "Serenity."
-
E.
The Star
The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64831c58819098758ac1f7839b3a |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a1796608190972865b2f6beef05 |
completed | March 21, 2026, 6:26 a.m. |
Created at: March 20, 2026, 1:19 p.m.