Triple
T20107297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | More Love |
E490215
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | Tamla T-54152 |
—
|
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: Tamla T-54152 | Statement: [More Love, labelImprint, Tamla T-54152]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamla T-54152 Context triple: [More Love, labelImprint, Tamla T-54152]
-
A.
Tamla
chosen
Tamla was a record label founded by Berry Gordy that became one of the core imprints of the Motown music empire, releasing influential soul and R&B recordings in the 1960s and 1970s.
-
B.
T-Model
The T-Model was an early leather football design used in top-level international competitions, including the inaugural FIFA World Cup.
-
C.
T.M.A.
T.M.A. is a Czech horror film in which a man returns to his childhood home in a remote village and confronts dark supernatural forces tied to his past.
-
D.
Talabot
Talabot is a French surname most notably associated with Paulin Talabot, a 19th-century engineer and pioneer of railway development in France.
-
E.
Tama
Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.