Triple
T30661769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyn Collins |
E780547
|
entity |
| Predicate | hasCatchphraseInLyrics |
P192137
|
FINISHED |
| Object | It takes two to make a thing go right |
—
|
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: It takes two to make a thing go right | Statement: [Lyn Collins, hasCatchphraseInLyrics, It takes two to make a thing go right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchphraseInLyrics Context triple: [Lyn Collins, hasCatchphraseInLyrics, It takes two to make a thing go right]
-
A.
hasChorusCatchphrase
Indicates that a work, typically a song or performance, features a recurring, easily recognizable phrase specifically in its chorus section.
-
B.
hasCatchphraseText
chosen
Indicates that an entity is associated with a specific catchphrase expressed as text.
-
C.
hasCatchphraseStyle
Indicates that an entity’s catchphrase conforms to, or is characterized by, a particular stylistic pattern or manner of expression.
-
D.
hasLyricsMentioning
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
-
E.
hasCatchphraseStatus
Indicates whether an entity’s phrase or expression holds the status of being recognized as a catchphrase.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: April 29, 2026, 8:31 p.m.