Triple
T18611322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Harsent |
E454900
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harsent
Harsent is the surname of British poet and librettist David Harsent, noted for his dark, formally inventive verse.
|
E1335071
|
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: Harsent | Statement: [David Harsent, familyName, Harsent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harsent Context triple: [David Harsent, familyName, Harsent]
-
A.
Hartha
Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
-
B.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
-
C.
Hessin
Hessin is the middle name of John Hessin Clarke, an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court in the early 20th century.
-
D.
Harraton
Harraton is a residential locality within Washington in the metropolitan county of Tyne and Wear, England.
-
E.
Heustreu
Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
- 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: Harsent Triple: [David Harsent, familyName, Harsent]
Generated description
Harsent is the surname of British poet and librettist David Harsent, noted for his dark, formally inventive verse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harsent Target entity description: Harsent is the surname of British poet and librettist David Harsent, noted for his dark, formally inventive verse.
-
A.
Hartha
Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
-
B.
Hertevin
Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
-
C.
Hessin
Hessin is the middle name of John Hessin Clarke, an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court in the early 20th century.
-
D.
Harraton
Harraton is a residential locality within Washington in the metropolitan county of Tyne and Wear, England.
-
E.
Heustreu
Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d013748819099126e27e7ec543d |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d71909c81909d07382ae9cd152d |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a051180e27081909fcca01a14ca6f39 |
completed | May 14, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a051223d7848190b785536bbfbdd4bc |
completed | May 14, 2026, 12:07 a.m. |
Created at: April 10, 2026, 11:45 a.m.