Triple

T4702567
Position Surface form Disambiguated ID Type / Status
Subject Jack Straw E104309 entity
Predicate familyName P18 FINISHED
Object Straw
Straw is a common agricultural byproduct consisting of the dry stalks of cereal plants, often used for animal bedding, thatching, and packaging.
E462852 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: Straw | Statement: [Jack Straw, familyName, Straw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Straw
Context triple: [Jack Straw, familyName, Straw]
  • A. Paglia
    The Paglia is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • B. Grass
    Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
  • C. Bagassa
    Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Cotton Tufts
    Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
  • 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: Straw
Triple: [Jack Straw, familyName, Straw]
Generated description
Straw is a common agricultural byproduct consisting of the dry stalks of cereal plants, often used for animal bedding, thatching, and packaging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Straw
Target entity description: Straw is a common agricultural byproduct consisting of the dry stalks of cereal plants, often used for animal bedding, thatching, and packaging.
  • A. Paglia
    The Paglia is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • B. Grass
    Grass is a 1925 silent documentary film that follows the arduous seasonal migration of the Bakhtiari tribe in Iran, co-directed by Merian C. Cooper and Ernest B. Schoedsack.
  • C. Bagassa
    Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Cotton Tufts
    Cotton Tufts was an 18th-century American physician and patriot from Massachusetts who was active in public affairs during the Revolutionary era.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.