Triple
T20426283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Beckett bibliography |
E501009
|
entity |
| Predicate | includesWork |
P2011
|
FINISHED |
| Object |
Murphy
"Murphy" is a 1938 novel by Irish writer Samuel Beckett, known for its dark humor and existential exploration of a man's struggle to find meaning and autonomy.
|
E1429191
|
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: Murphy | Statement: [Samuel Beckett bibliography, includesWork, Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy Context triple: [Samuel Beckett bibliography, includesWork, Murphy]
-
A.
Murphy
Murphy is a residential suburb located within the Dallas metropolitan area in Texas.
-
B.
Murphy
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
C.
Murphy
Murphy was the original name of the city now known as Sunnyvale, California.
-
D.
Murphy
Murphy is a small town in far western North Carolina known as a gateway to the Appalachian Mountains and nearby outdoor recreation areas.
-
E.
Murphy Cooper
Murphy Cooper is a brilliant and determined scientist and the daughter of astronaut Joseph Cooper in the science-fiction film "Interstellar," whose research becomes pivotal to humanity's survival.
- 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: Murphy Triple: [Samuel Beckett bibliography, includesWork, Murphy]
Generated description
"Murphy" is a 1938 novel by Irish writer Samuel Beckett, known for its dark humor and existential exploration of a man's struggle to find meaning and autonomy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murphy Target entity description: "Murphy" is a 1938 novel by Irish writer Samuel Beckett, known for its dark humor and existential exploration of a man's struggle to find meaning and autonomy.
-
A.
Murphy
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
B.
Murphy
Murphy is a residential suburb located within the Dallas metropolitan area in Texas.
-
C.
Murphy
Murphy was the original name of the city now known as Sunnyvale, California.
-
D.
Murphy
Murphy is a small town in far western North Carolina known as a gateway to the Appalachian Mountains and nearby outdoor recreation areas.
-
E.
Murphy Cooper
Murphy Cooper is a brilliant and determined scientist and the daughter of astronaut Joseph Cooper in the science-fiction film "Interstellar," whose research becomes pivotal to humanity's survival.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b2e7084819090d89779d8ebea38 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.