Triple

T21548269
Position Surface form Disambiguated ID Type / Status
Subject Alan J. Heeger E531688 entity
Predicate familyName P18 FINISHED
Object Heeger
Heeger is the surname of Alan J. Heeger, an American physicist and Nobel laureate known for his work on conductive polymers.
E1490509 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: Heeger | Statement: [Alan J. Heeger, familyName, Heeger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heeger
Context triple: [Alan J. Heeger, familyName, Heeger]
  • A. Henniez
    Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
  • B. Hennenman
    Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
  • C. Hessel
    Hessel is a surname most notably associated with Stéphane Hessel, the French diplomat, writer, and former Resistance fighter who inspired the Indignados movement.
  • D. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • E. Hirschberg
    Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
  • 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: Heeger
Triple: [Alan J. Heeger, familyName, Heeger]
Generated description
Heeger is the surname of Alan J. Heeger, an American physicist and Nobel laureate known for his work on conductive polymers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heeger
Target entity description: Heeger is the surname of Alan J. Heeger, an American physicist and Nobel laureate known for his work on conductive polymers.
  • A. Henniez
    Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
  • B. Hennenman
    Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
  • C. Hessel
    Hessel is a surname most notably associated with Stéphane Hessel, the French diplomat, writer, and former Resistance fighter who inspired the Indignados movement.
  • D. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • E. Hirschberg
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb590bb0881908cd849096696db10 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eedf8e888190953f55c2e4f6b021 completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09f198f9448190912060dbba608ded completed May 17, 2026, 4:49 p.m.
NED2 Entity disambiguation (via description) batch_6a09f22264108190ac07cee73b91befb completed May 17, 2026, 4:51 p.m.
Created at: April 16, 2026, 6:28 p.m.