Triple

T38429332
Position Surface form Disambiguated ID Type / Status
Subject Fraser of Strichen E903754 entity
Predicate notableMember P10 FINISHED
Object Thomas Fraser of Strichen
Thomas Fraser of Strichen was a Scottish nobleman of the Fraser clan who became the 12th Lord Lovat and chief of Clan Fraser of Lovat in the 18th century.
E2282055 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: Thomas Fraser of Strichen | Statement: [Fraser of Strichen, notableMember, Thomas Fraser of Strichen]
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: Thomas Fraser of Strichen
Triple: [Fraser of Strichen, notableMember, Thomas Fraser of Strichen]
Generated description
Thomas Fraser of Strichen was a Scottish nobleman of the Fraser clan who became the 12th Lord Lovat and chief of Clan Fraser of Lovat in the 18th century.

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_69f76e6a2024819081aa04f4932f89d2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccdaf4eec8190ae2366b1855b543e completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a420df64ebc8190a5fce4d636ce32ee completed June 29, 2026, 6:17 a.m.
NEDg Description generation batch_6a420fbed5908190805fd971f7d3f4e4 completed June 29, 2026, 6:25 a.m.
NED2 Entity disambiguation (via description) batch_6a42102a7ec48190aa501a5b0283bde8 completed June 29, 2026, 6:26 a.m.
Created at: May 3, 2026, 4:31 p.m.