Triple
T7714149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want Her |
E174839
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Elektra Records |
E129323
|
NE 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: Elektra Records | Statement: [I Want Her, recordLabel, Elektra Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elektra Records Context triple: [I Want Her, recordLabel, Elektra Records]
-
A.
Elektra Records
chosen
Elektra Records is a prominent American record label known for signing influential rock, folk, and alternative artists since the mid-20th century.
-
B.
Palladium Records
Palladium Records is a record label known for releasing music by American rock singer-songwriter Bob Seger.
-
C.
Casablanca Records
Casablanca Records is an American record label best known for its success in the 1970s disco era, releasing influential albums by artists such as Donna Summer, Kiss, and Parliament.
-
D.
Harvest Records
Harvest Records is a British record label best known for releasing progressive rock and experimental music, particularly in the 1970s.
-
E.
Peacock Records
Peacock Records was an influential mid-20th-century American rhythm and blues and gospel record label based in Houston, Texas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c998ad1ee08190bbde7900f1bb34bf |
completed | March 29, 2026, 9:25 p.m. |
Created at: March 27, 2026, 4:04 p.m.