Triple

T3757354
Position Surface form Disambiguated ID Type / Status
Subject Diane Ladd E82079 entity
Predicate familyName P18 FINISHED
Object Ladd
Ladd is a surname most prominently associated with American actress Diane Ladd and her family of performers.
 E386040 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: Ladd | Statement: [Diane Ladd, familyName, Ladd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ladd
Context triple: [Diane Ladd, familyName, Ladd]
  • A. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • B. Larrelt
    Larrelt is a district of the German seaport city of Emden in Lower Saxony.
  • C. Lakka
    Lakka is a picturesque coastal village on the Greek island of Paxos, known for its sheltered bay, clear turquoise waters, and traditional Ionian architecture.
  • D. Latada
    Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
  • E. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • 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: Ladd
Triple: [Diane Ladd, familyName, Ladd]
Generated description
Ladd is a surname most prominently associated with American actress Diane Ladd and her family of performers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ladd
Target entity description: Ladd is a surname most prominently associated with American actress Diane Ladd and her family of performers.
  • A. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • B. Larrelt
    Larrelt is a district of the German seaport city of Emden in Lower Saxony.
  • C. Lakka
    Lakka is a picturesque coastal village on the Greek island of Paxos, known for its sheltered bay, clear turquoise waters, and traditional Ionian architecture.
  • D. Latada
    Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
  • E. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50bfdb0819097bdfdd38f553ada completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6c7164881909f14bf5b57916ae3 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4e74df9b481909d5286c64ae6d91a completed March 14, 2026, 4:42 a.m.
Created at: March 8, 2026, 3:35 p.m.