Triple

T11530243
Position Surface form Disambiguated ID Type / Status
Subject Hannah Nicholson Gallatin E273398 entity
Predicate givenName P17 FINISHED
Object Hannah
Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used across many cultures and languages.
 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 Nicholson Gallatin, givenName, Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannah
Context triple: [Hannah Nicholson Gallatin, givenName, Hannah]
  • A. Hannah
    Hannah is an alternative name or alias for the individual known as Anne.
  • 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 a person associated in some way with the city of Santa Ana, California.
  • 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: [Hannah Nicholson Gallatin, givenName, Hannah]
Generated description
Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used across many cultures and languages.
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 across many cultures and languages.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839878948190b170e64629d6f2db completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6856341b481909d2ee71893e6117b completed April 20, 2026, 7:58 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7d683448190b7557bffd92b3ad6 completed April 20, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:37 p.m.