Triple
T20140842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaten Matarazzo |
E491159
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gaten |
E491159
|
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: Gaten | Statement: [Gaten Matarazzo, givenName, Gaten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaten Context triple: [Gaten Matarazzo, givenName, Gaten]
-
A.
Gaten
chosen
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
-
B.
Gachsaran
Gachsaran is a city in southwestern Iran known for its significant oil and gas fields and role in the country’s energy industry.
-
C.
Goytre
Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
-
D.
Gagata
Gagata is a genus of small Asian river catfishes known for their flattened bodies and adaptation to fast-flowing freshwater habitats.
-
E.
Gärdet
Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de69fc08190bfef348685007aad |
completed | May 16, 2026, 8:42 a.m. |
Created at: April 11, 2026, 11:32 p.m.