Triple
T20383375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Stock |
E497894
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Joe Ross |
—
|
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: Joe Ross | Statement: [Summer Stock, leadCharacter, Joe Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Ross Context triple: [Summer Stock, leadCharacter, Joe Ross]
-
A.
Joe Ross
chosen
Joe Ross is the main protagonist of the film "Summer Stock," around whom the story’s central romantic and musical plot revolves.
-
B.
Joe Ross
Joe Ross is a relatively common personal name shared by multiple individuals across fields such as sports, entertainment, and academia.
-
C.
Thunderbolt Ross
Thunderbolt Ross is a high-ranking U.S. military officer in Marvel Comics, best known for obsessively hunting the Hulk and later becoming the Red Hulk.
-
D.
Finis Conner
Finis Conner is an American entrepreneur best known as a pioneering figure in the hard disk drive industry and co-founder of both Seagate Technology and Conner Peripherals.
-
E.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.