Triple
T9967900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Phillips |
E195729
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Road Trip |
E489740
|
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: Road Trip | Statement: [Todd Phillips, wrote, Road Trip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Road Trip Context triple: [Todd Phillips, wrote, Road Trip]
-
A.
Road Trip
chosen
"Road Trip" is a 2000 American comedy film about a chaotic cross-country journey to retrieve an accidentally mailed explicit videotape.
-
B.
Road Trips
Road Trips is a series of live concert recordings by the Grateful Dead, released as archival albums highlighting notable performances from the band’s touring history.
-
C.
Cars ROAD TRIP
Cars ROAD TRIP is a family-friendly attraction at Walt Disney Studios Park that takes guests on a humorous, scenic tour inspired by Disney·Pixar’s Cars films.
-
D.
Trip
Trip is a 2017 psychedelic R&B concept album by Jhené Aiko that explores themes of grief, healing, and spiritual journey.
-
E.
Roadside
"Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269fc0d20819082bfe0331972e2b6 |
completed | April 5, 2026, 1:56 p.m. |
Created at: March 30, 2026, 8:47 p.m.