Triple

T16778142
Position Surface form Disambiguated ID Type / Status
Subject Samuel Jackson Lanahan E407781 entity
Predicate familyName P18 FINISHED
Object Lanahan
Lanahan is a surname most notably associated with American lawyer and politician Samuel Jackson Lanahan.
 E1233733 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: Lanahan | Statement: [Samuel Jackson Lanahan, familyName, Lanahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lanahan
Context triple: [Samuel Jackson Lanahan, familyName, Lanahan]
  • A. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • B. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • C. Lutayan
    Lutayan is a municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and proximity to Lake Buluan.
  • D. Laukahi
    Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Lanassa
    Lanassa was an ancient Greek noblewoman, daughter of Agathocles of Syracuse, who became queen through her marriage to the Hellenistic ruler Pyrrhus of Epirus.
  • 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: Lanahan
Triple: [Samuel Jackson Lanahan, familyName, Lanahan]
Generated description
Lanahan is a surname most notably associated with American lawyer and politician Samuel Jackson Lanahan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lanahan
Target entity description: Lanahan is a surname most notably associated with American lawyer and politician Samuel Jackson Lanahan.
  • A. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • B. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • C. Lutayan
    Lutayan is a municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and proximity to Lake Buluan.
  • D. Laukahi
    Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Lanassa
    Lanassa was an ancient Greek noblewoman, daughter of Agathocles of Syracuse, who became queen through her marriage to the Hellenistic ruler Pyrrhus of Epirus.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b212fc248190a8fe1124853bf16d completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ad66a9a88190983eee72f9d23e37 completed May 10, 2026, 4:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00addf7674819084f5755c2dacc741 completed May 10, 2026, 4:10 p.m.
Created at: April 10, 2026, 5:22 a.m.