Triple
T17414539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chad Oman |
E423452
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | G-Force |
—
|
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: G-Force | Statement: [Chad Oman, notableWork, G-Force]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-Force Context triple: [Chad Oman, notableWork, G-Force]
-
A.
G-Force
chosen
G-Force is a 2009 live-action/CGI family action-comedy film about a team of highly trained secret agent guinea pigs, produced by Jerry Bruckheimer.
-
B.
G-Force
G-Force is a racing car constructor best known for building IndyCar chassis used in top-level American open-wheel competition.
-
C.
G-Force
G-Force is a fictional international military and scientific task force in the Godzilla franchise dedicated to monitoring, controlling, and combating giant monsters using advanced technology and specialized mecha.
-
D.
Groundforce
Groundforce is a Spanish airport ground handling company that provides services such as baggage handling, ramp operations, and passenger assistance at various airports.
-
E.
Zero G
Zero G is a roller coaster attraction located at Beech Bend Park in Kentucky.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44230fc688190a6a7edc12d9e9947 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.