Triple
T16549715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Newbury |
E402037
|
entity |
| Predicate | spouseWork |
P4765
|
FINISHED |
| Object | Big Love |
E83219
|
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: Big Love | Statement: [Louise Newbury, spouseWork, Big Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Love Context triple: [Louise Newbury, spouseWork, Big Love]
-
A.
Big Love
"Big Love" is a song by the Black Eyed Peas featured on their concept album *Masters of the Sun Vol. 1*.
-
B.
Big Love
chosen
Big Love is an HBO television drama series that explores the complex lives of a modern-day polygamist family in suburban Utah.
-
C.
One Big Love
"One Big Love" is a song by American singer-songwriter Emmylou Harris from her acclaimed 2000 album *Red Dirt Girl*, blending folk, country, and Americana influences.
-
D.
Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
-
E.
Mad Love
"Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc323a88190b5c2a34de0a3c7f0 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.