Triple

T16282417
Position Surface form Disambiguated ID Type / Status
Subject Frieda Lawrence E395299 entity
Predicate givenName P17 FINISHED
Object Johanna
Johanna is the birth name of Frieda Lawrence, the German-born writer and wife of English novelist D. H. Lawrence.
 E1203342 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: Johanna | Statement: [Frieda Lawrence, givenName, Johanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johanna
Context triple: [Frieda Lawrence, givenName, Johanna]
  • A. Johanna
    "Johanna" is a recurring, lyrically poignant love song from Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
  • B. Johanna
    Johanna is the birth name of Magda Goebbels, the wife of Nazi propaganda minister Joseph Goebbels and a prominent figure in Nazi Germany.
  • C. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • D. Johanna
    Johanna is a Hungarian experimental opera film reimagining the story of Joan of Arc in a modern hospital setting, directed by Kornél Mundruczó.
  • E. Johanna
    Johanna is a feminine given name of Hebrew origin, commonly used in many European languages and derived from a form of "Johannes" meaning "God is gracious."
  • 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: Johanna
Triple: [Frieda Lawrence, givenName, Johanna]
Generated description
Johanna is the birth name of Frieda Lawrence, the German-born writer and wife of English novelist D. H. Lawrence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johanna
Target entity description: Johanna is the birth name of Frieda Lawrence, the German-born writer and wife of English novelist D. H. Lawrence.
  • A. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • B. Johanna
    "Johanna" is a recurring, lyrically poignant love song from Stephen Sondheim's musical *Sweeney Todd: The Demon Barber of Fleet Street*.
  • C. Johanna
    Johanna is the birth name of Magda Goebbels, the wife of Nazi propaganda minister Joseph Goebbels and a prominent figure in Nazi Germany.
  • D. Johanna
    Johanna is a Hungarian experimental opera film reimagining the story of Joan of Arc in a modern hospital setting, directed by Kornél Mundruczó.
  • E. Johanna
    Johanna is a feminine given name of Hebrew origin, commonly used in many European languages and derived from a form of "Johannes" meaning "God is gracious."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24911f11881909c98ddf829f077e9 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001876efb081909c0940ebcf265f15 completed May 10, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0018f6de84819087b8e97b0400c77d completed May 10, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:05 a.m.