Triple
T15977761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fsociety |
E387491
|
entity |
| Predicate | keyMember |
P44793
|
FINISHED |
| Object |
Trenton
Trenton is a key hacker and member of the fsociety collective in the television series "Mr. Robot."
|
E1187589
|
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: Trenton | Statement: [fsociety, keyMember, Trenton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trenton Context triple: [fsociety, keyMember, Trenton]
-
A.
Trenton
Trenton is a community in Ontario, Canada, located at the eastern end of the Trent–Severn Waterway and known as a regional hub on the Bay of Quinte.
-
B.
Trenton
Trenton is a small city in Gilchrist County, Florida, serving as a local hub for surrounding rural communities.
-
C.
Trenton, New Jersey
Trenton, New Jersey is the capital city of the state of New Jersey, located along the Delaware River between New York City and Philadelphia.
-
D.
Trenton–Camden
Trenton–Camden is a key urban corridor in New Jersey linking the state capital of Trenton with the city of Camden along the Delaware River.
-
E.
Newark
Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
- 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: Trenton Triple: [fsociety, keyMember, Trenton]
Generated description
Trenton is a key hacker and member of the fsociety collective in the television series "Mr. Robot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trenton Target entity description: Trenton is a key hacker and member of the fsociety collective in the television series "Mr. Robot."
-
A.
Trenton
Trenton is a community in Ontario, Canada, located at the eastern end of the Trent–Severn Waterway and known as a regional hub on the Bay of Quinte.
-
B.
Trenton
Trenton is a small city in Gilchrist County, Florida, serving as a local hub for surrounding rural communities.
-
C.
Trenton, New Jersey
Trenton, New Jersey is the capital city of the state of New Jersey, located along the Delaware River between New York City and Philadelphia.
-
D.
Trenton–Camden
Trenton–Camden is a key urban corridor in New Jersey linking the state capital of Trenton with the city of Camden along the Delaware River.
-
E.
Newark
Newark is a small suburban city in California’s San Francisco Bay Area, located near the southern end of the East Bay.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157521f6c8190a54023b5ee6fc033 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c76c988190a2f2bb4b6ac5ef25 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc49bfa088190a6291f560ca9bdb5 |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc538a5f0819097ea09f57d3cae35 |
completed | May 9, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:54 a.m.