Triple

T7717977
Position Surface form Disambiguated ID Type / Status
Subject Anne E174934 entity
Predicate alsoKnownAs P39 FINISHED
Object Hannah
Hannah is an alternative name or alias for the individual known as Anne.
 E684368 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: [Anne, alsoKnownAs, Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannah
Context triple: [Anne, alsoKnownAs, 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 a compassionate Jewish laundress and the love interest of the Jewish Barber in Charlie Chaplin’s 1940 satirical film "The Great Dictator."
  • D. Hannah
    Hannah is a key survivor character in the British post-apocalyptic horror film "28 Days Later," known for her resilience and resourcefulness amid a rage virus outbreak in London.
  • E. Hannah
    Hannah is an alternate given name associated with American actress Dakota Fanning, whose full name is Hannah Dakota Fanning.
  • 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: [Anne, alsoKnownAs, Hannah]
Generated description
Hannah is an alternative name or alias for the individual known as Anne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannah
Target entity description: Hannah is an alternative name or alias for the individual known as Anne.
  • A. Hannah
    Hannah is an alternate given name associated with American actress Dakota Fanning, whose full name is Hannah Dakota Fanning.
  • B. Hannah
    Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
  • C. Hannah
    Hannah is a person associated in some way with the city of Santa Ana, California.
  • 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 key ally of Commander Schultz, likely playing an important supportive or collaborative role in his missions or objectives.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ceb23481909600f876023dde92 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b510650481908d65838108a2d632 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b6bfb96881908d0e82d3efa1e6e2 completed March 29, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7359cf48190b48782e2eabd5e6d completed March 29, 2026, 5:23 a.m.
Created at: March 27, 2026, 4:05 p.m.