Triple
T9665616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lascelles Abercrombie |
E233696
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Ralph Abercrombie
Ralph Abercrombie was the son of British poet and literary critic Lascelles Abercrombie.
|
E816083
|
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: Ralph Abercrombie | Statement: [Lascelles Abercrombie, child, Ralph Abercrombie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Abercrombie Context triple: [Lascelles Abercrombie, child, Ralph Abercrombie]
-
A.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
B.
Ralph Furley
Ralph Furley is the flamboyantly dressed, bumbling landlord character from the sitcom "Three's Company," known for his exaggerated reactions and comic misunderstandings.
-
C.
Ralph Simpson
Ralph Simpson is a former professional basketball guard best known for his high-scoring play in the American Basketball Association during the early 1970s.
-
D.
Ralph Hart
Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
-
E.
Ralph Arnold
Ralph Arnold is the name of several notable individuals, including figures in fields such as geology, engineering, and the arts.
- 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: Ralph Abercrombie Triple: [Lascelles Abercrombie, child, Ralph Abercrombie]
Generated description
Ralph Abercrombie was the son of British poet and literary critic Lascelles Abercrombie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralph Abercrombie Target entity description: Ralph Abercrombie was the son of British poet and literary critic Lascelles Abercrombie.
-
A.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
B.
Ralph Furley
Ralph Furley is the flamboyantly dressed, bumbling landlord character from the sitcom "Three's Company," known for his exaggerated reactions and comic misunderstandings.
-
C.
Ralph Simpson
Ralph Simpson is a former professional basketball guard best known for his high-scoring play in the American Basketball Association during the early 1970s.
-
D.
Ralph Hart
Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
-
E.
Ralph Arnold
Ralph Arnold is the name of several notable individuals, including figures in fields such as geology, engineering, and the arts.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f70597c81909d461b3d935b02a5 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a022efd48190b0206bbdf3d93b9e |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a09ae5b48190b4d0b01cd20ba140 |
completed | April 4, 2026, 11:36 p.m. |
Created at: March 30, 2026, 8:14 p.m.