Triple
T14767359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldie |
E347030
|
entity |
| Predicate | workTitle |
P24259
|
FINISHED |
| Object | Snatch |
E712958
|
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: Snatch | Statement: [Goldie, workTitle, Snatch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snatch Context triple: [Goldie, workTitle, Snatch]
-
A.
Snatch
Snatch is a 2000 British crime comedy film directed by Guy Ritchie, known for its fast-paced, interwoven plot, dark humor, and ensemble cast including Jason Statham and Brad Pitt.
-
B.
Snatchers
Snatchers are roving gangs of bounty hunters in the Harry Potter series who track down and capture Muggle-borns and other targets for Voldemort’s regime.
-
C.
Snatched
chosen
Snatched is a 2017 comedy film starring Goldie Hawn and Amy Schumer as a mother-daughter duo whose tropical vacation goes disastrously off course.
-
D.
The Italian Job
The Italian Job is a 2003 heist film known for its stylish Mini Cooper car chases and ensemble cast, including Charlize Theron and Mark Wahlberg.
-
E.
The Italian Job
The Italian Job is a 1969 British heist film, best known for its Mini Cooper car chases, comedic tone, and Michael Caine’s iconic performance.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9683d34c81909ff7486582766620 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:30 a.m.