Triple
T10195041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weta Workshop |
E238140
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object | RT Effects |
E238140
|
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: RT Effects | Statement: [Weta Workshop, hasFormerName, RT Effects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RT Effects Context triple: [Weta Workshop, hasFormerName, RT Effects]
-
A.
RT Effects
chosen
RT Effects is the former name of Weta Workshop, the renowned New Zealand special effects and prop company known for its work on major film franchises like The Lord of the Rings.
-
B.
EFX
EFX is the stock ticker symbol for Equifax Inc., a major U.S.-based consumer credit reporting agency.
-
C.
In Effect Mode
"In Effect Mode" is an R&B album by singer Al B. Sure! that helped popularize the new jack swing sound in the late 1980s.
-
D.
Ken Burns effect
The Ken Burns effect is a filmmaking and video editing technique that creates motion by slowly panning and zooming over still photographs to add visual interest and narrative emphasis.
-
E.
USFX
USFX is the commonly used abbreviation for the historic University of Saint Francis Xavier of Chuquisaca, one of Bolivia’s oldest and most prestigious universities.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317dbfb7c819087aafc7161b14707 |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:13 p.m.