Triple
T565989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Prefect |
E13553
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
David Dixon
David Dixon is a British actor best known for playing Ford Prefect in the BBC television adaptation of "The Hitchhiker's Guide to the Galaxy."
|
E199469
|
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: David Dixon | Statement: [Ford Prefect, portrayedBy, David Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Dixon Context triple: [Ford Prefect, portrayedBy, David Dixon]
-
A.
David Nelson
David Nelson was an American actor and director best known as the elder son on the classic television series "The Adventures of Ozzie and Harriet."
-
B.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
C.
Johnston McCulley
Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
-
D.
James Dodd
James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
-
E.
Sidney Darlington
Sidney Darlington was an American electrical engineer and inventor best known for his pioneering work in network theory and the invention of the Darlington transistor configuration.
- 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: David Dixon Triple: [Ford Prefect, portrayedBy, David Dixon]
Generated description
David Dixon is a British actor best known for playing Ford Prefect in the BBC television adaptation of "The Hitchhiker's Guide to the Galaxy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Dixon Target entity description: David Dixon is a British actor best known for playing Ford Prefect in the BBC television adaptation of "The Hitchhiker's Guide to the Galaxy."
-
A.
David Nelson
David Nelson was an American actor and director best known as the elder son on the classic television series "The Adventures of Ozzie and Harriet."
-
B.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
C.
Johnston McCulley
Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
-
D.
James Dodd
James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
-
E.
Sidney Darlington
Sidney Darlington was an American electrical engineer and inventor best known for his pioneering work in network theory and the invention of the Darlington transistor configuration.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a74793481908fee3baff0b1d348 |
completed | March 1, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada94e727881909bee9e71a404c95a |
completed | March 8, 2026, 4:52 p.m. |
| NEDg | Description generation | batch_69adae972d1081909cd13e8220c3ccc6 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaf9d042481909dbd54d9e04e444e |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 1, 2026, 7:32 p.m.