Triple
T13515717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Pretty |
E322753
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Edith May Pretty
Edith May Pretty was an English landowner and amateur archaeologist best known for commissioning the excavation of the Sutton Hoo ship burial in 1939.
|
E1050383
|
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: Edith May Pretty | Statement: [Edith Pretty, fullName, Edith May Pretty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith May Pretty Context triple: [Edith Pretty, fullName, Edith May Pretty]
-
A.
Edith Luckett
Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
-
B.
Henrietta Crofts
Henrietta Crofts was a woman of sufficient local prominence or influence to have Henrietta Street named in her honor.
-
C.
Edith Bellenden
Edith Bellenden is a central heroine in Sir Walter Scott’s historical novel "Old Mortality," representing loyalty and romantic idealism amid the political turmoil of 17th-century Scotland.
-
D.
Edith Harrison
Edith Harrison was the wife of British inventor and early motion picture pioneer William Friese-Greene.
-
E.
Edith Jenkins
Edith Jenkins is known primarily as the wife of British civil engineer Sir John Bradfield.
- 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: Edith May Pretty Triple: [Edith Pretty, fullName, Edith May Pretty]
Generated description
Edith May Pretty was an English landowner and amateur archaeologist best known for commissioning the excavation of the Sutton Hoo ship burial in 1939.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edith May Pretty Target entity description: Edith May Pretty was an English landowner and amateur archaeologist best known for commissioning the excavation of the Sutton Hoo ship burial in 1939.
-
A.
Edith Luckett
Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
-
B.
Henrietta Crofts
Henrietta Crofts was a woman of sufficient local prominence or influence to have Henrietta Street named in her honor.
-
C.
Edith Bellenden
Edith Bellenden is a central heroine in Sir Walter Scott’s historical novel "Old Mortality," representing loyalty and romantic idealism amid the political turmoil of 17th-century Scotland.
-
D.
Edith Harrison
Edith Harrison was the wife of British inventor and early motion picture pioneer William Friese-Greene.
-
E.
Edith Jenkins
Edith Jenkins is known primarily as the wife of British civil engineer Sir John Bradfield.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8239c481909faf5a9c403b55f2 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f7800caaf0819085e553f96a9f99cf |
completed | May 3, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78089050c81909943164d1a41a37f |
completed | May 3, 2026, 5:06 p.m. |
Created at: April 9, 2026, 9:44 p.m.