Triple

T12540692
Position Surface form Disambiguated ID Type / Status
Subject Andre Norton E299829 entity
Predicate givenName P17 FINISHED
Object Alice
Alice is the given first name of the renowned American science fiction and fantasy author Andre Norton.
E990097 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: Alice | Statement: [Andre Norton, givenName, Alice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alice
Context triple: [Andre Norton, givenName, Alice]
  • A. Alice
    Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
  • B. Alice
    "Alice" is a 2002 studio album by Tom Waits that blends dark cabaret, jazz, and experimental sounds, originally developed as music for a stage play collaboration with Robert Wilson.
  • C. Alice
    Alice is a Direct Memory Access (DMA) controller used in Commodore's Amiga AGA chipset generation to handle high-speed data transfers between memory and peripherals.
  • D. Alice
    Alice is a small town in South Africa’s Eastern Cape province, known as an educational center and for its historical significance in the region.
  • E. Alice
    Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
  • 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: Alice
Triple: [Andre Norton, givenName, Alice]
Generated description
Alice is the given first name of the renowned American science fiction and fantasy author Andre Norton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alice
Target entity description: Alice is the given first name of the renowned American science fiction and fantasy author Andre Norton.
  • A. Alice
    Alice is the given name of Alice Malsenior Tallulah-Kate Walker, the acclaimed American novelist, short story writer, poet, and activist best known for her novel "The Color Purple."
  • B. Alice
    Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
  • C. Alice
    Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
  • D. Alice
    Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
  • E. Alice
    Alice is the superhuman protagonist of the Resident Evil film series, known for battling bioengineered monsters and the Umbrella Corporation in a post-apocalyptic world.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557cb180819083ee10708320199e completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.