Triple

T13257824
Position Surface form Disambiguated ID Type / Status
Subject Mae Whitman E315708 entity
Predicate givenName P17 FINISHED
Object Mae
Mae is a feminine given name commonly used in English-speaking countries, often associated with springtime or as a variant of "May."
 E465676 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: Mae | Statement: [Mae Whitman, givenName, Mae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mae
Context triple: [Mae Whitman, givenName, Mae]
  • A. Mae
    Mae is the given name of Maeby Fünke, a fictional character from the television series "Arrested Development."
  • B. Mae
    Mae is a mysterious, alluring young vampire who lures the protagonist into an outlaw bloodsucking clan in the 1987 cult horror film "Near Dark."
  • C. Mae
    Mae is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • D. Mere
    Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
  • E. Mere
    Mere is a small historic market town in southwest Wiltshire, England, known for its rural setting near the borders of Dorset and Somerset.
  • 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: Mae
Triple: [Mae Whitman, givenName, Mae]
Generated description
Mae is a feminine given name commonly used in English-speaking countries, often associated with springtime or as a variant of "May."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mae
Target entity description: Mae is a feminine given name commonly used in English-speaking countries, often associated with springtime or as a variant of "May."
  • A. Mae
    Mae is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Mae chosen
    Mae is the given name of Maeby Fünke, a fictional character from the television series "Arrested Development."
  • C. Mae
    Mae is a mysterious, alluring young vampire who lures the protagonist into an outlaw bloodsucking clan in the 1987 cult horror film "Near Dark."
  • D. Mere
    Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
  • E. Mere
    Mere is a small historic market town in southwest Wiltshire, England, known for its rural setting near the borders of Dorset and Somerset.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a444b4c8190a5dd95460ac96cc7 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70d50b6148190a0cbc31d9937d59e completed May 3, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69f70e14389881908787a64ddead9707 completed May 3, 2026, 8:57 a.m.
Created at: April 9, 2026, 9:25 p.m.