Triple
T9825251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoosiers |
E238637
|
entity |
| Predicate | alternateTitle |
P39
|
FINISHED |
| Object | Best Shot |
E795945
|
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: Best Shot | Statement: [Hoosiers, alternateTitle, Best Shot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Best Shot Context triple: [Hoosiers, alternateTitle, Best Shot]
-
A.
Best Shot
chosen
"Best Shot" is a breakout country single by American singer Jimmie Allen that gained widespread attention for its heartfelt lyrics and uplifting message.
-
B.
Big Shot
"Big Shot" is a 1978 rock song by American singer-songwriter Billy Joel, known for its satirical take on New York high society and featured on his album "52nd Street."
-
C.
The Shot
"The Shot" is a short story by Alexander Pushkin that explores themes of honor, revenge, and the codes of dueling among Russian military officers.
-
D.
The Big Shot
"The Big Shot" is a 1942 American crime film noir starring Humphrey Bogart as a three-time loser drawn into one last ill-fated heist.
-
E.
Big Shots
Big Shots is an American television dramedy series that follows the intertwined personal and professional lives of four high-powered corporate executives.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3181c688190afea3b27ee392a30 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc84b0a481909000a0f04e3676d0 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.