Triple
T10141755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Garrett |
E231598
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Run It! |
E708039
|
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: Run It! | Statement: [Sean Garrett, notableWork, Run It!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run It! Context triple: [Sean Garrett, notableWork, Run It!]
-
A.
Run It!
chosen
"Run It!" is the 2005 debut single by American singer Chris Brown, a dance-pop and R&B track that became a major hit and launched his mainstream music career.
-
B.
Run It Up
"Run It Up" is a hip-hop track by NBA star and rapper Dame D.O.L.L.A. that showcases his lyrical skills and crossover appeal between sports and music.
-
C.
Run for Your Life
"Run for Your Life" is a song by the Beatles, written primarily by John Lennon and released as the closing track on their 1965 album Rubber Soul.
-
D.
Run for Your Life
"Run for Your Life" is a fast-paced crime thriller novel in James Patterson and Michael Ledwidge's Michael Bennett series, following the New York City detective as he hunts a ruthless killer terrorizing the city.
-
E.
Run for Your Life
Run for Your Life is a work by science writer Lucy Hawking that blends storytelling with scientific themes, reflecting her focus on making complex ideas accessible to young readers.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e60e51488190a6097837eb3ce18a |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.