Triple

T14580057
Position Surface form Disambiguated ID Type / Status
Subject Lily Rabe E342168 entity
Predicate familyName P18 FINISHED
Object Rabe
Rabe is a surname most prominently associated with American actress Lily Rabe, known for her work in film, television, and theater.
 E1105946 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: Rabe | Statement: [Lily Rabe, familyName, Rabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rabe
Context triple: [Lily Rabe, familyName, Rabe]
  • A. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Raddai
    Raddai is a lesser-known biblical figure mentioned in the Old Testament as one of the sons in Jesse’s family line connected to King David.
  • D. Raban
    Raban is the surname of Jonathan Raban, a British travel writer and novelist known for his reflective and genre-blending works.
  • E. Raí
    Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
  • 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: Rabe
Triple: [Lily Rabe, familyName, Rabe]
Generated description
Rabe is a surname most prominently associated with American actress Lily Rabe, known for her work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rabe
Target entity description: Rabe is a surname most prominently associated with American actress Lily Rabe, known for her work in film, television, and theater.
  • A. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Raddai
    Raddai is a lesser-known biblical figure mentioned in the Old Testament as one of the sons in Jesse’s family line connected to King David.
  • D. Raban
    Raban is the surname of Jonathan Raban, a British travel writer and novelist known for his reflective and genre-blending works.
  • E. Raí
    Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ad03e7881908a783182c6d656b5 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c278e8481909465972b32ad6c28 completed May 8, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd8ca921108190943eb948f9af6123 completed May 8, 2026, 7:11 a.m.
Created at: April 10, 2026, 1:24 a.m.