Triple

T30734619
Position Surface form Disambiguated ID Type / Status
Subject Nick Sobotka E782514 entity
Predicate cooperatesWithCharacter P117209 FINISHED
Object Beadie Russell
Beadie Russell is a port authority officer turned homicide detective in the television series "The Wire," known for her key role in investigating the Baltimore docks and the Sobotka crime ring.
 E1929168 NE FINISHED

How this triple was built (3 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: Beadie Russell | Statement: [Nick Sobotka, cooperatesWithCharacter, Beadie Russell]
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: Beadie Russell
Triple: [Nick Sobotka, cooperatesWithCharacter, Beadie Russell]
Generated description
Beadie Russell is a port authority officer turned homicide detective in the television series "The Wire," known for her key role in investigating the Baltimore docks and the Sobotka crime ring.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cooperatesWithCharacter
Context triple: [Nick Sobotka, cooperatesWithCharacter, Beadie Russell]
  • A. collaboratesWithCharacter chosen
    Indicates that one character works together with another character toward a shared goal or activity.
  • B. worksUnderCharacter
    Indicates that one character is hierarchically subordinate to another and performs their duties under that character’s authority or supervision.
  • C. coProtagonist
    Indicates that two or more entities share the primary leading role together in the same narrative work.
  • D. cooperateThrough
    Indicates that entities work together or coordinate their actions by means of a specific intermediary, method, or channel.
  • E. appliesToCharacter
    Indicates that an action, rule, or property is specifically directed toward or relevant for a particular character.
  • F. None of above.

Provenance (6 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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68f670b608190a0b6ab60d722b4e0 completed May 2, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a289913cec48190963e940be54121e1 completed June 9, 2026, 10:52 p.m.
NEDg Description generation batch_6a289af04cc08190a45004a2c7d2e6b7 completed June 9, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_6a289ba3fe2881909d2b7db74cf7aa82 completed June 9, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:37 p.m.