Triple
T6379343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corridors of Power |
E143541
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | G-Force |
E484973
|
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: G-Force | Statement: [Corridors of Power, follows, G-Force]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-Force Context triple: [Corridors of Power, follows, G-Force]
-
A.
G-Force
G-Force is a racing car constructor best known for building IndyCar chassis used in top-level American open-wheel competition.
-
B.
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.
-
C.
Zero G
Zero G is a roller coaster attraction located at Beech Bend Park in Kentucky.
-
D.
Rocket Jockey
Rocket Jockey is a classic mid-20th-century young adult science fiction novel by Lester del Rey, centered on high-speed rocket racing and adventure in the Solar System.
-
E.
Electrodrome
Electrodrome is a neon-lit, music-themed race track in Mario Kart 8 featuring pulsating lights, synchronized beats, and twisting anti-gravity sections.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685029488190911fb24c470b6f0d |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da95aac81909e5e6d310168a5f6 |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.