Triple
T498989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iain Canning |
E10357
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tracks
Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
|
E62101
|
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: Tracks | Statement: [Iain Canning, notableWork, Tracks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracks Context triple: [Iain Canning, notableWork, Tracks]
-
A.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
B.
Test Track
Test Track is a high-speed automotive-themed attraction at EPCOT where guests experience a simulated vehicle testing facility.
-
C.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
D.
Music Concourse
Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
-
E.
Loop
The Loop is Chicago’s central business district and downtown core, known for its dense cluster of skyscrapers, cultural institutions, and historic elevated train system.
- 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: Tracks Triple: [Iain Canning, notableWork, Tracks]
Generated description
Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tracks Target entity description: Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
-
A.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
B.
Test Track
Test Track is a high-speed automotive-themed attraction at EPCOT where guests experience a simulated vehicle testing facility.
-
C.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
D.
Music Concourse
Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
-
E.
Loop
The Loop is Chicago’s central business district and downtown core, known for its dense cluster of skyscrapers, cultural institutions, and historic elevated train system.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481f1ee28819087e90028b89e877e |
completed | March 1, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69a482749e78819093f8f81090eedfa2 |
completed | March 1, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a483073dcc8190b05f89a81207d3d2 |
completed | March 1, 2026, 6:18 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.