Triple

T19352215
Position Surface form Disambiguated ID Type / Status
Subject libpcap E484050 entity
Predicate usedBy P260 FINISHED
Object Zeek
Zeek is an open-source network security monitoring and analysis framework widely used for deep, scriptable inspection of network traffic.
E1372004 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: Zeek | Statement: [libpcap, usedBy, Zeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeek
Context triple: [libpcap, usedBy, Zeek]
  • A. The Hacker
    The Hacker is a villainous character portrayed by Christopher Lloyd in the educational animated television series "Cyberchase."
  • B. The Hacker
    The Hacker is a French electronic music producer and DJ known for his influential work in electroclash and techno, often in collaboration with Miss Kittin.
  • C. Zach Witness
    Zach Witness is an American music producer and engineer known for his innovative, genre-blending work with artists such as Erykah Badu.
  • D. Zeeb
    Zeeb is a variant transliteration of the Hebrew name Ze'ev, which means "wolf" and is known from its appearance in the Hebrew Bible.
  • E. Zeke
    Zeke is the character portrayed by actor Irving Lahrheim (better known as Bert Lahr), most famously associated with his role in "The Wizard of Oz."
  • 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: Zeek
Triple: [libpcap, usedBy, Zeek]
Generated description
Zeek is an open-source network security monitoring and analysis framework widely used for deep, scriptable inspection of network traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zeek
Target entity description: Zeek is an open-source network security monitoring and analysis framework widely used for deep, scriptable inspection of network traffic.
  • A. The Hacker
    The Hacker is a villainous character portrayed by Christopher Lloyd in the educational animated television series "Cyberchase."
  • B. The Hacker
    The Hacker is a French electronic music producer and DJ known for his influential work in electroclash and techno, often in collaboration with Miss Kittin.
  • C. Zach Witness
    Zach Witness is an American music producer and engineer known for his innovative, genre-blending work with artists such as Erykah Badu.
  • D. Zeeb
    Zeeb is a variant transliteration of the Hebrew name Ze'ev, which means "wolf" and is known from its appearance in the Hebrew Bible.
  • E. Zeke
    Zeke is the Allied reporting name for the Mitsubishi A6M Zero, the famous Japanese carrier-based fighter aircraft used extensively during World War II.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072409b48c819081a0e5510e91d636 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a0725e546488190988000d77c961c0f completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.