Triple
T2770999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Expendables (2010 film) |
E61454
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Nu Image |
E259306
|
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: Nu Image | Statement: [The Expendables (2010 film), productionCompany, Nu Image]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nu Image Context triple: [The Expendables (2010 film), productionCompany, Nu Image]
-
A.
Nu Image
chosen
Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
-
B.
Neo
Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
-
C.
Nuk
Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
-
D.
Tupian
Tupian is a major indigenous language family of South America, encompassing numerous related languages spoken primarily in Brazil and neighboring regions.
-
E.
NuMachine
NuMachine was an early 1980s experimental workstation computer project at MIT that pioneered the NuBus expansion bus architecture.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6a23208190ba94c9a9f601a042 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05061808190abe709eff7a8c986 |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.