Triple
T18615420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Let the Stars Get in Your Eyes |
E455007
|
entity |
| Predicate | PerryComoVersionDescribedAs |
P91540
|
FINISHED |
| Object | major pop hit |
—
|
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: major pop hit | Statement: [Don’t Let the Stars Get in Your Eyes, PerryComoVersionDescribedAs, major pop hit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PerryComoVersionDescribedAs Context triple: [Don’t Let the Stars Get in Your Eyes, PerryComoVersionDescribedAs, major pop hit]
-
A.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
B.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
-
C.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
D.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
E.
performerDescribedAs
chosen
Indicates that a performer is characterized or referred to using a particular description, label, or role.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d04bdc48190b0213132923a7580 |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.