Triple

T10380206
Position Surface form Disambiguated ID Type / Status
Subject Linda Darnell E244618 entity
Predicate spouse P13 FINISHED
Object Meriwether Post
Meriwether Post was the husband of American film actress Linda Darnell, known primarily for his marriage to the Hollywood star.
E859433 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: Meriwether Post | Statement: [Linda Darnell, spouse, Meriwether Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meriwether Post
Context triple: [Linda Darnell, spouse, Meriwether Post]
  • A. Meriwether
    Meriwether is a surname of English origin borne by various notable individuals, including American politician David Meriwether.
  • B. Charles Maclay
    Charles Maclay was a 19th-century American politician, land developer, and founder of the city of San Fernando in California.
  • C. William Paulding Jr.
    William Paulding Jr. was a 19th-century American politician and lawyer who served as mayor of New York City and later owned the historic Lyndhurst estate in Tarrytown, New York.
  • D. Henry Wheaton
    Henry Wheaton was a 19th-century American jurist, diplomat, and pioneering scholar of international law whose writings significantly shaped the field.
  • E. Thomas Pratt
    Thomas Pratt was an American film editor known for his work on numerous Hollywood productions during the mid-20th century.
  • 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: Meriwether Post
Triple: [Linda Darnell, spouse, Meriwether Post]
Generated description
Meriwether Post was the husband of American film actress Linda Darnell, known primarily for his marriage to the Hollywood star.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meriwether Post
Target entity description: Meriwether Post was the husband of American film actress Linda Darnell, known primarily for his marriage to the Hollywood star.
  • A. Meriwether
    Meriwether is a surname of English origin borne by various notable individuals, including American politician David Meriwether.
  • B. Charles Maclay
    Charles Maclay was a 19th-century American politician, land developer, and founder of the city of San Fernando in California.
  • C. William Paulding Jr.
    William Paulding Jr. was a 19th-century American politician and lawyer who served as mayor of New York City and later owned the historic Lyndhurst estate in Tarrytown, New York.
  • D. Henry Wheaton
    Henry Wheaton was a 19th-century American jurist, diplomat, and pioneering scholar of international law whose writings significantly shaped the field.
  • E. Thomas Pratt
    Thomas Pratt was an American film editor known for his work on numerous Hollywood productions during the mid-20th century.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d79784baa481909e57adda27578cc2 completed April 9, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69d7989f8dfc8190b1fe4429f7bb0283 completed April 9, 2026, 12:16 p.m.
Created at: April 6, 2026, 12:03 p.m.