Triple
T12065627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddy Messinger |
E287286
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Show People |
E271753
|
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: Show People | Statement: [Buddy Messinger, appearedIn, Show People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Show People Context triple: [Buddy Messinger, appearedIn, Show People]
-
A.
Show People
chosen
Show People is a 1928 silent comedy film directed by King Vidor that satirizes Hollywood and the movie industry.
-
B.
People
People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
-
C.
People
"People" is a song featured on the 2014 album "Partners" by Barbra Streisand.
-
D.
Persons
Persons is the family name of Truman Streckfus Persons, better known as the American writer Truman Capote.
-
E.
Moviefone
Moviefone is an online service that provides movie showtimes, tickets, and related film information to consumers.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f656f4f481909a1ecac3f89da374 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.