Triple
T6896779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Henry Harcourt-Reilly |
E159389
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harcourt-Reilly
Harcourt-Reilly is the hyphenated surname of Sir Henry Harcourt-Reilly, a fictional character from T.S. Eliot’s play "The Cocktail Party."
|
E627710
|
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: Harcourt-Reilly | Statement: [Sir Henry Harcourt-Reilly, familyName, Harcourt-Reilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harcourt-Reilly Context triple: [Sir Henry Harcourt-Reilly, familyName, Harcourt-Reilly]
-
A.
Gréville-Hague
Gréville-Hague is a coastal commune in northwestern France best known as the birthplace of the 19th-century painter Jean-François Millet.
-
B.
Watson-Wentworth
Watson-Wentworth is a British aristocratic family name historically associated with the Marquesses of Rockingham and prominent 18th-century political influence.
-
C.
The Hayes
The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
-
D.
Southery
Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
-
E.
Wyman-Gordon
Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
- 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: Harcourt-Reilly Triple: [Sir Henry Harcourt-Reilly, familyName, Harcourt-Reilly]
Generated description
Harcourt-Reilly is the hyphenated surname of Sir Henry Harcourt-Reilly, a fictional character from T.S. Eliot’s play "The Cocktail Party."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harcourt-Reilly Target entity description: Harcourt-Reilly is the hyphenated surname of Sir Henry Harcourt-Reilly, a fictional character from T.S. Eliot’s play "The Cocktail Party."
-
A.
Gréville-Hague
Gréville-Hague is a coastal commune in northwestern France best known as the birthplace of the 19th-century painter Jean-François Millet.
-
B.
Watson-Wentworth
Watson-Wentworth is a British aristocratic family name historically associated with the Marquesses of Rockingham and prominent 18th-century political influence.
-
C.
The Hayes
The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
-
D.
Southery
Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
-
E.
Wyman-Gordon
Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95ae3f88190b7f5d440f90ae9f9 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748dfd9608190891c8df48b771e20 |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c749d4b088819095f991f976592d04 |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74aab12988190bd23cfcc06c55cde |
completed | March 28, 2026, 3:27 a.m. |
Created at: March 27, 2026, 2:24 p.m.