Triple

T8248696
Position Surface form Disambiguated ID Type / Status
Subject Maltego E192903 entity
Predicate canIntegrateWith P48644 FINISHED
Object Shodan
Shodan is a specialized search engine that indexes internet-connected devices and services, often used for cybersecurity research and network reconnaissance.
E721439 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: Shodan | Statement: [Maltego, canIntegrateWith, Shodan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shodan
Context triple: [Maltego, canIntegrateWith, Shodan]
  • A. Cyber Pearl
    Cyber Pearl is a prominent commercial office complex in Hyderabad’s HITEC City, known for housing numerous IT and technology companies.
  • B. Sucuri
    Sucuri is a website security company best known for its malware removal, firewall, and protection services for websites and online businesses.
  • C. Talos
    Talos is a giant bronze automaton from Greek mythology who guarded the island of Crete by circling its shores and hurling stones at approaching intruders.
  • D. Talos
    Talos is a Skrull leader and shapeshifting alien operative in the Marvel Cinematic Universe, prominently featured in the film "Captain Marvel."
  • E. Radar
    Radar is the nickname of American professional golfer Michael Reid, known for his accuracy and steady play on the PGA Tour.
  • 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: Shodan
Triple: [Maltego, canIntegrateWith, Shodan]
Generated description
Shodan is a specialized search engine that indexes internet-connected devices and services, often used for cybersecurity research and network reconnaissance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shodan
Target entity description: Shodan is a specialized search engine that indexes internet-connected devices and services, often used for cybersecurity research and network reconnaissance.
  • A. Cyber Pearl
    Cyber Pearl is a prominent commercial office complex in Hyderabad’s HITEC City, known for housing numerous IT and technology companies.
  • B. Sucuri
    Sucuri is a website security company best known for its malware removal, firewall, and protection services for websites and online businesses.
  • C. Talos
    Talos is a giant bronze automaton from Greek mythology who guarded the island of Crete by circling its shores and hurling stones at approaching intruders.
  • D. Talos
    Talos is a Skrull leader and shapeshifting alien operative in the Marvel Cinematic Universe, prominently featured in the film "Captain Marvel."
  • E. Radar
    Radar is the nickname of American professional golfer Michael Reid, known for his accuracy and steady play on the PGA Tour.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.