Triple
T3138104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All in Love Is Fair |
E65581
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Tamla |
E60019
|
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: Tamla | Statement: [All in Love Is Fair, recordLabel, Tamla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamla Context triple: [All in Love Is Fair, recordLabel, Tamla]
-
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.
Chaka
"Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
-
C.
Dum Dum
Dum Dum is a suburban city near Kolkata in eastern India, known for housing the Netaji Subhas Chandra Bose International Airport and having a significant role in the region’s transport and industry.
-
D.
Nini
Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
-
E.
Siwan
Siwan is a town and district headquarters in the Indian state of Bihar, known for its historical significance and political prominence.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503d3f19c819088061d3c68757957 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:05 p.m.