Triple

T15758266
Position Surface form Disambiguated ID Type / Status
Subject Florence Hannah Holten E382023 entity
Predicate givenName P17 FINISHED
Object Hannah
Hannah is a feminine given name of Hebrew origin commonly 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: [Florence Hannah Holten, givenName, Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah
Context triple: [Florence Hannah Holten, 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: [Florence Hannah Holten, givenName, Hannah]
Generated description
Hannah is a feminine given name of Hebrew origin commonly 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 commonly 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 an alternate given name associated with American actress Dakota Fanning, whose full name is Hannah Dakota Fanning.
  • C. 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.
  • D. Hannah
    Hannah is an alternative name or alias for the individual known as Anne.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff881731ac8190baa3cea2c9b7975b completed May 9, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff88cfbe388190b20c426b4c745f92 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 4:47 a.m.