Triple
T18337492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Married |
E439309
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Sam Harper |
—
|
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: Sam Harper | Statement: [Just Married, writer, Sam Harper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Harper Context triple: [Just Married, writer, Sam Harper]
-
A.
Sam Harper
chosen
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
-
B.
Sam Drake
Sam Drake is a seasoned treasure hunter and the older brother of protagonist Nathan Drake in the Uncharted video game series.
-
C.
Adam Harper
Adam Harper is a British mathematician known for his contributions to analytic number theory, particularly in the study of random multiplicative functions and the distribution of prime numbers.
-
D.
Jason Archer
Jason Archer is a central character in the political thriller novel "Total Control," around whom much of the story’s intrigue and suspense revolves.
-
E.
Joe Harper
Joe Harper is a minor character in Mark Twain's classic novel "The Adventures of Tom Sawyer," known as one of Tom's close friends and fellow mischief-makers in the fictional town of St. Petersburg.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ece387881909a5da0aa4370489c |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.