Triple
T8155297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Morpurgo |
E190432
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Morpurgo
Morpurgo is the surname of Michael Morpurgo, the renowned British author best known for his children's novels such as "War Horse."
|
E716983
|
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: Morpurgo | Statement: [Michael Morpurgo, familyName, Morpurgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morpurgo Context triple: [Michael Morpurgo, familyName, Morpurgo]
-
A.
Julie Brett
Julie Brett is the mother of British television producer and talent show judge Simon Cowell.
-
B.
Lloyd Alexander
Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
-
C.
Susan Cooper
Susan Cooper is a British-born American author best known for her award-winning fantasy series "The Dark Is Rising."
-
D.
Arthur Goodrich
Arthur Goodrich was an American playwright and author active in the early 20th century, known for works such as the play "So This Is London."
-
E.
Sandra Pullman
Sandra Pullman is a determined, by-the-book detective who leads a team of retired officers investigating cold cases in the British television series "New Tricks."
- 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: Morpurgo Triple: [Michael Morpurgo, familyName, Morpurgo]
Generated description
Morpurgo is the surname of Michael Morpurgo, the renowned British author best known for his children's novels such as "War Horse."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morpurgo Target entity description: Morpurgo is the surname of Michael Morpurgo, the renowned British author best known for his children's novels such as "War Horse."
-
A.
Julie Brett
Julie Brett is the mother of British television producer and talent show judge Simon Cowell.
-
B.
Lloyd Alexander
Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
-
C.
Susan Cooper
Susan Cooper is a British-born American author best known for her award-winning fantasy series "The Dark Is Rising."
-
D.
Arthur Goodrich
Arthur Goodrich was an American playwright and author active in the early 20th century, known for works such as the play "So This Is London."
-
E.
Sandra Pullman
Sandra Pullman is a determined, by-the-book detective who leads a team of retired officers investigating cold cases in the British television series "New Tricks."
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d725b88190b77dc7537c1fa95d |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf0f68c88190be9aab03de6bf4a0 |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccc311d4e8819080f4aeef8ee7dc3b |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd81bebf8819081b3c4efa5a9ef93 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:37 p.m.