Triple
T8427482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovers on the Sun |
E199037
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Sam Martin |
E737744
|
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: Sam Martin | Statement: [Lovers on the Sun, writer, Sam Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Martin Context triple: [Lovers on the Sun, writer, Sam Martin]
-
A.
Sam Martin
chosen
Sam Martin is an American singer and songwriter best known for his vocal features on electronic dance music tracks and collaborations with prominent DJs.
-
B.
Sam Barrington
Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
-
C.
Patrick Martin
Patrick Martin is the conflicted protagonist of Georges Simenon’s novel "The Bottom of the Bottle," a lawyer torn between his respectable life and loyalty to his fugitive brother.
-
D.
David Martin
David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
-
E.
Stephen Glenn Martin
Stephen Glenn Martin is an American comedian, actor, writer, musician, and producer renowned for his stand-up comedy, film roles, and banjo performances.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88ae6fc08190bba328a2d6f2e36e |
completed | April 2, 2026, 3:18 p.m. |
Created at: March 30, 2026, 6:07 p.m.