Triple

T11034509
Position Surface form Disambiguated ID Type / Status
Subject Monte Rey Otter E260842 entity
Predicate shortName P43 FINISHED
Object Monte Rey
Monte Rey is an otter character known by the shortened name "Monte Rey."
E902040 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: Monte Rey | Statement: [Monte Rey Otter, shortName, Monte Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Rey
Context triple: [Monte Rey Otter, shortName, Monte Rey]
  • A. Monte Toro
    Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
  • B. Monte Beragon
    Monte Beragon is a charming but morally dubious playboy and love interest in the 1945 film noir "Mildred Pierce," whose relationship with the title character contributes to her downfall.
  • C. Monte Semprevisa
    Monte Semprevisa is the highest peak of the Monti Lepini range in central Italy, known for its limestone landscapes and panoramic views over the surrounding Lazio region.
  • D. Monte del Pilar
    Monte del Pilar is a large natural park and green area in Majadahonda, Spain, known for its Mediterranean woodland, walking trails, and recreational spaces.
  • E. Monte de El Pardo
    Monte de El Pardo is a large protected forested area and royal hunting estate on the outskirts of Madrid, Spain, known for its Mediterranean woodland and rich wildlife.
  • 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: Monte Rey
Triple: [Monte Rey Otter, shortName, Monte Rey]
Generated description
Monte Rey is an otter character known by the shortened name "Monte Rey."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monte Rey
Target entity description: Monte Rey is an otter character known by the shortened name "Monte Rey."
  • A. Monte Toro
    Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
  • B. Monte Beragon
    Monte Beragon is a charming but morally dubious playboy and love interest in the 1945 film noir "Mildred Pierce," whose relationship with the title character contributes to her downfall.
  • C. Monte Semprevisa
    Monte Semprevisa is the highest peak of the Monti Lepini range in central Italy, known for its limestone landscapes and panoramic views over the surrounding Lazio region.
  • D. Monte del Pilar
    Monte del Pilar is a large natural park and green area in Majadahonda, Spain, known for its Mediterranean woodland, walking trails, and recreational spaces.
  • E. Monte de El Pardo
    Monte de El Pardo is a large protected forested area and royal hunting estate on the outskirts of Madrid, Spain, known for its Mediterranean woodland and rich wildlife.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e709648190adbb05197e15ff76 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9b70074819084c725c5babf2fb7 completed April 18, 2026, 3:56 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1efe4a88190884eb5186954cf39 completed April 18, 2026, 4:31 p.m.
Created at: April 8, 2026, 9:25 p.m.