Triple

T17876016
Position Surface form Disambiguated ID Type / Status
Subject Hannah Waterman E446954 entity
Predicate givenName P17 FINISHED
Object Hannah
Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
 E446953 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 Waterman, givenName, Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannah
Context triple: [Hannah Waterman, 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 Waterman, givenName, Hannah]
Generated description
Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannah
Target entity description: Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
  • A. Hannah chosen
    Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
  • B. 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.
  • C. Hannah
    Hannah is an alternative name or alias for the individual known as Anne.
  • D. Hannah
    Hannah is an alternate given name associated with American actress Dakota Fanning, whose full name is Hannah Dakota Fanning.
  • E. Hannah
    Hannah is a person associated in some way with the city of Santa Ana, California.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313d1c1e48190a17e3b81c4ee22f3 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031485c3908190a8fe49068d45e910 completed May 12, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a03151de8408190a4c8bc30f5606951 completed May 12, 2026, 11:55 a.m.
Created at: April 10, 2026, 10:18 a.m.