Triple
T14877161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tugg Speedman |
E349896
|
entity |
| Predicate | hasFictionalFilmographyItem |
P15620
|
FINISHED |
| Object | Scorcher V |
E1126051
|
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: Scorcher V | Statement: [Tugg Speedman, hasFictionalFilmographyItem, Scorcher V]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scorcher V Context triple: [Tugg Speedman, hasFictionalFilmographyItem, Scorcher V]
-
A.
Scorcher
chosen
Scorcher is a fictional action film franchise within the movie "Tropic Thunder," known for starring Tugg Speedman as a stereotypical blockbuster action hero.
-
B.
The Scorch
The Scorch is a vast, post-apocalyptic desert wasteland ravaged by solar flares and disease in the Maze Runner universe.
-
C.
Scorch
Scorch is a loyal and formidable minion who serves the powerful villain known as the Sorceress.
-
D.
Scorch
Scorch is the fiery dragon mascot of the WNBA’s Phoenix Mercury, known for energizing fans at the team’s games.
-
E.
Scrapper
Scrapper is a tough, streetwise kid and founding member of DC Comics' Newsboy Legion, often portrayed as the group's scrappy, hot-headed brawler.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9687a5888190a6e6ffd781f64edc |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:55 a.m.