Triple
T1753771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Matheson |
E38505
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Matheson
Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
|
E197012
|
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: Matheson | Statement: [Richard Matheson, familyName, Matheson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matheson Context triple: [Richard Matheson, familyName, Matheson]
-
A.
Linde
Linde is a given name, often used in Germanic and Scandinavian countries, that is related to or derived from the name Linda.
-
B.
Woodward
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
C.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
D.
Airco
Airco was a British aircraft manufacturer best known for producing military aircraft during World War I, including the successful DH series of biplanes.
-
E.
Behring
Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
- 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: Matheson Triple: [Richard Matheson, familyName, Matheson]
Generated description
Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matheson Target entity description: Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
-
A.
Linde
Linde is a given name, often used in Germanic and Scandinavian countries, that is related to or derived from the name Linda.
-
B.
Woodward
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
C.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
D.
Airco
Airco was a British aircraft manufacturer best known for producing military aircraft during World War I, including the successful DH series of biplanes.
-
E.
Behring
Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64169c508190a33074fb06e9c755 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e84c1c8190917edf14003cba81 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a2fb9481909d9ed587921ca6b6 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada4e28830819082ed7facee14587f |
completed | March 8, 2026, 4:33 p.m. |
Created at: March 4, 2026, 7:31 p.m.