Triple
T4722066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl X |
E104790
|
entity |
| Predicate | halftimeShow |
P10817
|
FINISHED |
| Object | Up with People |
E49869
|
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: Up with People | Statement: [Super Bowl X, halftimeShow, Up with People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up with People Context triple: [Super Bowl X, halftimeShow, Up with People]
-
A.
Up With People
chosen
Up With People is an educational, music-based nonprofit organization best known for its large-scale, youth-led musical performances and international goodwill tours.
-
B.
The People, Yes
The People, Yes is a sprawling, populist epic poem by Carl Sandburg that celebrates the resilience, humor, and democratic spirit of ordinary Americans during the early 20th century.
-
C.
The Satisfied People
"The Satisfied People" is a film featuring Russian actress Svetlana Khodchenkova in a notable role.
-
D.
Everybody’s Something
"Everybody’s Something" is a reflective, gospel-infused hip-hop track by Chance the Rapper that explores themes of self-worth, faith, and inclusivity.
-
E.
Among People
Among People is an alternative title for the film "In the World."
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642b82008190bb70dd60a4149502 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1094fd9c81909e12723394f9ae0a |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.