Triple
T22972923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking for Alibrandi |
E571235
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Matthew Newton
Matthew Newton is an Australian actor and filmmaker known for his roles in film and television as well as his work behind the camera.
|
E1563292
|
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: Matthew Newton | Statement: [Looking for Alibrandi, castMember, Matthew Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Newton Context triple: [Looking for Alibrandi, castMember, Matthew Newton]
-
A.
Matthew Elliott
Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
-
B.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
C.
Matthew Nelson
Matthew Nelson is a composer known for his work on the piece "More Than Ever."
-
D.
Matthew Nathanson
Matthew Nathanson is a singer-songwriter known for his melodic, introspective pop-rock music and emotionally resonant lyrics.
-
E.
Matthew Tyler
Matthew Tyler is a DC Comics character who serves as a futuristic android incarnation of the superhero Hourman, possessing time-manipulation abilities.
- 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: Matthew Newton Triple: [Looking for Alibrandi, castMember, Matthew Newton]
Generated description
Matthew Newton is an Australian actor and filmmaker known for his roles in film and television as well as his work behind the camera.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Newton Target entity description: Matthew Newton is an Australian actor and filmmaker known for his roles in film and television as well as his work behind the camera.
-
A.
Matthew Elliott
Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
-
B.
Matthew Nelson
Matthew Nelson is an American musician best known as one half of the twin brother rock duo Nelson and as a son of rock and roll star Ricky Nelson.
-
C.
Matthew Nelson
Matthew Nelson is a composer known for his work on the piece "More Than Ever."
-
D.
Matthew Nathanson
Matthew Nathanson is a singer-songwriter known for his melodic, introspective pop-rock music and emotionally resonant lyrics.
-
E.
Matthew Tyler
Matthew Tyler is a DC Comics character who serves as a futuristic android incarnation of the superhero Hourman, possessing time-manipulation abilities.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca28333c8190b517c2f4755e2e38 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcacba35881909ee124b27afc9df4 |
completed | May 19, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcba855d4819081d61e217b3747b0 |
completed | May 19, 2026, 2:32 a.m. |
Created at: April 17, 2026, 3:48 p.m.