Triple
T19853128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venture to the Moon |
E477054
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “All That Glitters” |
—
|
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: “All That Glitters” | Statement: [Venture to the Moon, hasPart, “All That Glitters”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “All That Glitters” Context triple: [Venture to the Moon, hasPart, “All That Glitters”]
-
A.
All That Glitters
chosen
"All That Glitters" is a science fiction story by Arthur C. Clarke that appears as one of the pieces in his collection *The Other Side of the Sky*.
-
B.
Everything That Glitters
"Everything That Glitters" is a track by Pusha T from his 2011 hip-hop EP *Fear of God II: Let Us Pray*.
-
C.
“Where There’s Gold”
“Where There’s Gold” is a song by British singer-songwriter Seal from his fourth studio album, commonly known as Seal IV.
-
D.
“Shower of Gold”
“Shower of Gold” is a mythological tale, often associated with the story of Zeus visiting Danaë in a golden rain, that appears as one of the stories collected in *The Golden Apples*.
-
E.
"Glitter in Their Eyes"
"Glitter in Their Eyes" is a song by the American rock band Gung Ho.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586aa1dc8190b6cfe051a57e338b |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.