Triple

T15388955
Position Surface form Disambiguated ID Type / Status
Subject Hannah Dakota Fanning E367987 entity
Predicate givenName P17 FINISHED
Object Hannah
Hannah is the given first name of American actress Dakota Fanning, known for her prominent child-acting roles in films like "I Am Sam" and "War of the Worlds."
 E367987 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: Hannah | Statement: [Hannah Dakota Fanning, givenName, Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannah
Context triple: [Hannah Dakota Fanning, givenName, Hannah]
  • A. Hannah
    Hannah is a biblical figure in the Book of 1 Samuel known for her fervent prayer for a child and as the mother of the prophet Samuel.
  • B. Hannah
    Hannah is a person associated in some way with the city of Santa Ana, California.
  • C. Hannah
    Hannah is the introspective, commitment-averse young woman at the center of the mumblecore film "Hannah Takes the Stairs," whose romantic indecision drives the movie’s exploration of twentysomething relationships.
  • D. Hannah
    Hannah is a key ally of Commander Schultz, likely playing an important supportive or collaborative role in his missions or objectives.
  • E. Hannah
    Hannah is a fictional girl who serves as the central protagonist in the story "Sleepover."
  • 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: Hannah
Triple: [Hannah Dakota Fanning, givenName, Hannah]
Generated description
Hannah is the given first name of American actress Dakota Fanning, known for her prominent child-acting roles in films like "I Am Sam" and "War of the Worlds."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannah
Target entity description: Hannah is the given first name of American actress Dakota Fanning, known for her prominent child-acting roles in films like "I Am Sam" and "War of the Worlds."
  • A. Hannah chosen
    Hannah is an alternate given name associated with American actress Dakota Fanning, whose full name is Hannah Dakota Fanning.
  • B. Hannah
    Hannah is a fictional character portrayed by actress Megan Burns.
  • C. Hannah
    Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
  • D. Hannah
    Hannah is a biblical figure in the Book of 1 Samuel known for her fervent prayer for a child and as the mother of the prophet Samuel.
  • E. Hannah
    Hannah is a fictional girl who serves as the central protagonist in the story "Sleepover."
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134bf8b4819092d77c44d0207e3b completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141b025c8190ac5ac9400ff36133 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff1519100c819083ee0342bf25d89e completed May 9, 2026, 11:06 a.m.
Created at: April 10, 2026, 3:19 a.m.