Triple
T7494665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tron |
E177092
|
entity |
| Predicate | visualEffectsCompany |
P3489
|
FINISHED |
| Object |
Matte World
Matte World is a visual effects studio renowned for its pioneering matte painting and digital compositing work on major films.
|
E668487
|
NE FINISHED |
How this triple was built (4 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: Matte World | Statement: [Tron, visualEffectsCompany, Matte World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matte World Context triple: [Tron, visualEffectsCompany, Matte World]
-
A.
Against the World
"Against the World" is a song by the American pop-rock band Hanson.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
Mattertal
Mattertal is a high alpine valley in the Swiss canton of Valais, known for its dramatic peaks including the Matterhorn and its popular mountaineering and ski resorts.
-
D.
Tuttomondo
Tuttomondo is a large, colorful public mural in Pisa, Italy, created by American artist Keith Haring in 1989 and depicting his signature stylized human figures.
-
E.
Two Worlds
"Two Worlds" is the Phil Collins–performed theme song that opens and frames Disney's 1999 animated film Tarzan, emphasizing the connection and divide between human and jungle worlds.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matte World Triple: [Tron, visualEffectsCompany, Matte World]
Generated description
Matte World is a visual effects studio renowned for its pioneering matte painting and digital compositing work on major films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matte World Target entity description: Matte World is a visual effects studio renowned for its pioneering matte painting and digital compositing work on major films.
-
A.
Against the World
"Against the World" is a song by the American pop-rock band Hanson.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
Mattertal
Mattertal is a high alpine valley in the Swiss canton of Valais, known for its dramatic peaks including the Matterhorn and its popular mountaineering and ski resorts.
-
D.
Tuttomondo
Tuttomondo is a large, colorful public mural in Pisa, Italy, created by American artist Keith Haring in 1989 and depicting his signature stylized human figures.
-
E.
Two Worlds
"Two Worlds" is the Phil Collins–performed theme song that opens and frames Disney's 1999 animated film Tarzan, emphasizing the connection and divide between human and jungle worlds.
- F. None of above. chosen
Provenance (5 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c819f00819087fef27e4f4fdc1c |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83ddda5688190be1ec69f23671f60 |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e42b0048190b1abd8ae99c97e38 |
completed | March 28, 2026, 8:46 p.m. |
Created at: March 27, 2026, 3:43 p.m.