Triple
T5067523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaten Matarazzo |
E114179
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gaten
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."
|
E491159
|
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: 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.
Goytre
Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
-
B.
Gärdet
Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
-
C.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
D.
Rollag
Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
-
E.
Gard
Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
- 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: Gaten Triple: [Gaten Matarazzo, givenName, Gaten]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaten Target entity description: 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."
-
A.
Goytre
Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
-
B.
Gärdet
Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
-
C.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
D.
Rollag
Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
-
E.
Gard
Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a027a88190a515a374e5405d8a |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea74d0d108190b01b50cb8d08f5d9 |
completed | March 21, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea7bcc134819092b93b7d7e6abce9 |
completed | March 21, 2026, 2:14 p.m. |
Created at: March 20, 2026, 1:38 p.m.