Triple

T1476767
Position Surface form Disambiguated ID Type / Status
Subject Fifi E30858 entity
Predicate offspring P980 FINISHED
Object Fanni
Fanni is an individual known primarily as the child of Fifi.
 E83113 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: Fanni | Statement: [Fifi, offspring, Fanni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fanni
Context triple: [Fifi, offspring, Fanni]
  • A. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • B. Senta
    Senta is a town in northern Serbia, on the Tisa River, historically notable as the site of the 1697 Battle of Zenta between the Habsburg and Ottoman Empires.
  • C. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • D. Oona
    Oona O’Neill was an American socialite and actress best known as the fourth wife of legendary filmmaker Charlie Chaplin and the daughter of playwright Eugene O’Neill.
  • E. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • 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: Fanni
Triple: [Fifi, offspring, Fanni]
Generated description
Fanni is an individual known primarily as the child of Fifi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fanni
Target entity description: Fanni is an individual known primarily as the child of Fifi.
  • A. Franziska chosen
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • B. Senta
    Senta is a town in northern Serbia, on the Tisa River, historically notable as the site of the 1697 Battle of Zenta between the Habsburg and Ottoman Empires.
  • C. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • D. Oona
    Oona O’Neill was an American socialite and actress best known as the fourth wife of legendary filmmaker Charlie Chaplin and the daughter of playwright Eugene O’Neill.
  • E. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • F. None of above.

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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15add78c8190843efd75bbe8423f completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad184626f48190a15ee8bb4f9f6f7c completed March 8, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69ad18dca6b48190a63b67a7823611c8 completed March 8, 2026, 6:36 a.m.
Created at: March 1, 2026, 8:11 p.m.