Triple
T11649927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aubrey holes |
E276874
|
entity |
| Predicate | surveyedBy |
P6157
|
FINISHED |
| Object |
William Hawley
William Hawley was an early 20th-century British archaeologist best known for his pioneering excavations and studies at Stonehenge.
|
E938948
|
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: William Hawley | Statement: [Aubrey holes, surveyedBy, William Hawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hawley Context triple: [Aubrey holes, surveyedBy, William Hawley]
-
A.
Henry Hawley
Henry Hawley was an 18th-century British Army general best known for his controversial leadership and defeat during the Jacobite Rising of 1745.
-
B.
William Elford Leach
William Elford Leach was a British zoologist and marine biologist of the early 19th century known for his influential work in classifying a wide range of animal groups, including birds and crustaceans.
-
C.
Joseph Houlton
Joseph Houlton was an early settler and prominent local figure after whom the town of Houlton, Maine, was named.
-
D.
William Dewhurst
William Dewhurst was an actor known for his role in the early 20th-century film "Sabotage."
-
E.
William Jaggard
William Jaggard was a London printer and publisher best known for producing the 1623 First Folio of Shakespeare’s plays.
- 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: William Hawley Triple: [Aubrey holes, surveyedBy, William Hawley]
Generated description
William Hawley was an early 20th-century British archaeologist best known for his pioneering excavations and studies at Stonehenge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Hawley Target entity description: William Hawley was an early 20th-century British archaeologist best known for his pioneering excavations and studies at Stonehenge.
-
A.
Henry Hawley
Henry Hawley was an 18th-century British Army general best known for his controversial leadership and defeat during the Jacobite Rising of 1745.
-
B.
William Elford Leach
William Elford Leach was a British zoologist and marine biologist of the early 19th century known for his influential work in classifying a wide range of animal groups, including birds and crustaceans.
-
C.
Joseph Houlton
Joseph Houlton was an early settler and prominent local figure after whom the town of Houlton, Maine, was named.
-
D.
William Dewhurst
William Dewhurst was an actor known for his role in the early 20th-century film "Sabotage."
-
E.
William Jaggard
William Jaggard was a London printer and publisher best known for producing the 1623 First Folio of Shakespeare’s plays.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8805a91081909ff29b3357e351ee |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.