Triple

T19420830
Position Surface form Disambiguated ID Type / Status
Subject Wolf (river) E485846 entity
Predicate hasNameInLanguage P15 FINISHED
Object Wolf
Wolf is a river in Germany that serves as a tributary of the Kinzig in the state of Baden-Württemberg.
 E1375818 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: Wolf | Statement: [Wolf (river), hasNameInLanguage, Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolf
Context triple: [Wolf (river), hasNameInLanguage, Wolf]
  • A. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • B. Wolf
    Wolf is a song by American singer Miguel from his album "War & Leisure."
  • C. Wolf
    The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
  • D. Wolf
    Wolf is a brash, foul-mouthed, and often clueless time-traveling soldier who serves as one of the main comedic characters in the sci-fi TV series "Future Man."
  • E. Wolf
    "Wolf" is a 1971 semi-autobiographical novel by American author Jim Harrison that blends wilderness adventure with introspective exploration of identity and survival.
  • 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: Wolf
Triple: [Wolf (river), hasNameInLanguage, Wolf]
Generated description
Wolf is a river in Germany that serves as a tributary of the Kinzig in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolf
Target entity description: Wolf is a river in Germany that serves as a tributary of the Kinzig in the state of Baden-Württemberg.
  • A. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • B. Wolf
    The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
  • C. Wolf
    Wolf is a central character in August Wilson’s play "Two Trains Running," known as a fast-talking numbers runner who operates out of Memphis’s diner in 1960s Pittsburgh.
  • D. Wolf
    Wolf is a song by American singer Miguel from his album "War & Leisure."
  • E. Wolf
    Wolf is the silent, one-armed shinobi protagonist of the action-adventure video game Sekiro: Shadows Die Twice.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63214d768819082129100d7116521 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.