Triple
T19329173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tired of Being Alone |
E483439
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Hi 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: Hi Records | Statement: [Tired of Being Alone, recordLabel, Hi Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hi Records Context triple: [Tired of Being Alone, recordLabel, Hi Records]
-
A.
Hi Records
chosen
Hi Records was a prominent Memphis-based soul and R&B label best known for releasing Al Green’s classic recordings in the 1960s and 1970s.
-
B.
Hub Records
Hub Records is an independent music label known for releasing the album "Stories Don’t End" by Dawes.
-
C.
Word Records
Word Records is a prominent American Christian music record label known for producing and distributing contemporary Christian and gospel artists.
-
D.
Remark Records
Remark Records is a music record label known for releasing albums such as Vanessa Paradis's self-titled studio album.
-
E.
Enjoy Records
Enjoy Records is an independent record label known for releasing music by artists such as Flake.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163ffddc81909e9cb13e780f1f18 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.