Triple
T13338653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House on Telegraph Hill |
E317763
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Sol Kaplan |
E504336
|
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: Sol Kaplan | Statement: [The House on Telegraph Hill, musicBy, Sol Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sol Kaplan Context triple: [The House on Telegraph Hill, musicBy, Sol Kaplan]
-
A.
Sol Kaplan
chosen
Sol Kaplan was an American composer best known for his film and television scores, including work in mid-20th-century Hollywood.
-
B.
Billy Kaplan
Billy Kaplan is a Marvel Comics superhero, also known as Wiccan, who is a powerful magic user and a member of the Young Avengers.
-
C.
Greg Kaplan
Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
-
D.
Hank Kaplan
Hank Kaplan is a fictional character from the American medical drama television series "Nurses."
-
E.
Larry Kaplan
Larry Kaplan is a pioneering video game designer and programmer best known as one of the co-founders of Activision and an early developer for the Atari 2600.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90815b64819082715292f6088c74 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 9, 2026, 9:31 p.m.