Triple
T15143313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acid Rain |
E361740
|
entity |
| Predicate | containsNotableLine |
P99681
|
FINISHED |
| Object | “Sometimes the truth don’t rhyme” |
—
|
LITERAL 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: “Sometimes the truth don’t rhyme” | Statement: [Acid Rain, containsNotableLine, “Sometimes the truth don’t rhyme”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsNotableLine Context triple: [Acid Rain, containsNotableLine, “Sometimes the truth don’t rhyme”]
-
A.
hasNotableSegment
Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
-
B.
hasNotableWord
Indicates that an entity is associated with a word or term that is considered notable, distinctive, or significant in some context.
-
C.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
D.
hasNotableSentence
chosen
Indicates that an entity is associated with a particularly important, famous, or otherwise noteworthy sentence.
-
E.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
- F. None of above.
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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.