Triple
T23474542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow |
E570222
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rainbow (Interlude) |
—
|
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: Rainbow (Interlude) | Statement: [Rainbow, hasPart, Rainbow (Interlude)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainbow (Interlude) Context triple: [Rainbow, hasPart, Rainbow (Interlude)]
-
A.
Rainbow (Interlude)
chosen
"Rainbow (Interlude)" is a brief musical interlude featured on the album "Rainbow."
-
B.
Rainbow in the Rain
"Rainbow in the Rain" is a song featured on the country album *Drinkin' Songs and Other Logic* by Deryl Dodd.
-
C.
Standing in the Rainbow
Standing in the Rainbow is a nostalgic, character-driven novel by Fannie Flagg that portrays small-town American life in mid-20th-century Missouri with warmth and humor.
-
D.
There’s a Rainbow ‘Round My Shoulder
"There’s a Rainbow ‘Round My Shoulder" is a popular 1928 song closely associated with Al Jolson and featured prominently in early American musical cinema.
-
E.
Rainbow's Gold
"Rainbow's Gold" is a lesser-known hard rock song by British band Beckett, best known today for being covered by Iron Maiden as a B-side.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a70363488190bcbdedec5c2a945c |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 6 p.m.