Triple

T32309430
Position Surface form Disambiguated ID Type / Status
Subject Laura Harring E825451 entity
Predicate birthName P65 FINISHED
Object Laura Elena Martínez Herring
Laura Elena Martínez Herring, known professionally as Laura Harring, is a Mexican-American actress and former Miss USA best known for her role in David Lynch’s film "Mulholland Drive."
E2108847 NE FINISHED

How this triple was built (2 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: Laura Elena Martínez Herring | Statement: [Laura Harring, birthName, Laura Elena Martínez Herring]
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: Laura Elena Martínez Herring
Triple: [Laura Harring, birthName, Laura Elena Martínez Herring]
Generated description
Laura Elena Martínez Herring, known professionally as Laura Harring, is a Mexican-American actress and former Miss USA best known for her role in David Lynch’s film "Mulholland Drive."

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_69f3491213b88190a57094d8697a7455 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd89d3dc8190988bb54d492fd4a5 completed May 3, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a375bc076b881909a6f6f88bbe0f96e completed June 21, 2026, 3:34 a.m.
NEDg Description generation batch_6a375c3793448190b0a8b91390bf8498 completed June 21, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_6a375cee5bc48190be375c7003f171ca completed June 21, 2026, 3:39 a.m.
Created at: May 1, 2026, 12:45 a.m.