Triple
T7230982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Wins |
E154899
|
entity |
| Predicate | subjectPerson |
P2308
|
FINISHED |
| Object | John Arthur |
E170143
|
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: John Arthur | Statement: [Love Wins, subjectPerson, John Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Arthur Context triple: [Love Wins, subjectPerson, John Arthur]
-
A.
John Arthur
chosen
John Arthur was the late husband of James Obergefell, whose death and their marriage became central to the landmark U.S. Supreme Court case legalizing same-sex marriage nationwide.
-
B.
Charles Lang
Charles Lang was an acclaimed American cinematographer known for his work on numerous classic Hollywood films across several decades.
-
C.
Harold Hartley
Harold Hartley was a British chemist and academic known for his contributions to physical chemistry and his leadership roles in scientific organizations.
-
D.
Edward Arnold
Edward Arnold was a prominent American character actor of the early to mid-20th century, known for his powerful screen presence and frequent portrayals of authoritative or villainous figures in Hollywood films.
-
E.
Edward Arnold
Edward Arnold was a British publishing house active in the late 19th and 20th centuries, known for issuing literary works and academic texts.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea0f09648190b285993556f704d5 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc22a39481909a2f38014260f302 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:54 p.m.