Triple
T34804738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patience and Prudence |
E1003322
|
entity |
| Predicate | Tonight You Belong to Me_label |
P181898
|
FINISHED |
| Object | Liberty Records |
—
|
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: Liberty Records | Statement: [Patience and Prudence, Tonight You Belong to Me_label, Liberty Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Tonight You Belong to Me_label Context triple: [Patience and Prudence, Tonight You Belong to Me_label, Liberty Records]
-
A.
Tonight You Belong to Me_chartSuccess
Indicates that the song "Tonight You Belong to Me" achieved notable chart success or ranking.
-
B.
البنت
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
-
C.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
-
D.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
E.
الملحن
Indicates that an entity is the composer or creator of a musical work for another entity (such as a song, piece, or performance).
- F. None of above. chosen
Provenance (4 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.