Triple
T20285564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of the Flies (1963 film) |
E509865
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Roger Elwin
Roger Elwin is an actor best known for his role in the 1963 film adaptation of William Golding’s novel "Lord of the Flies."
|
E1427931
|
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: Roger Elwin | Statement: [Lord of the Flies (1963 film), stars, Roger Elwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Elwin Context triple: [Lord of the Flies (1963 film), stars, Roger Elwin]
-
A.
Roger Hawkins
Roger Hawkins was a renowned American session drummer best known as a key member of the Muscle Shoals Rhythm Section, playing on numerous classic soul and rock recordings.
-
B.
Roger Hawkins
Roger Hawkins is a musician best known as a member of the Athens, Georgia-based alternative rock band Love Tractor.
-
C.
Mark Elvin
Mark Elvin is a historian and sinologist known for his influential work on Chinese environmental and economic history.
-
D.
Rod Liddle
Rod Liddle is a British journalist and commentator known for his provocative columns and outspoken views on politics and culture.
-
E.
Michael Elwyn
Michael Elwyn is a Welsh actor known for his extensive work in British television, film, and theatre.
- 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: Roger Elwin Triple: [Lord of the Flies (1963 film), stars, Roger Elwin]
Generated description
Roger Elwin is an actor best known for his role in the 1963 film adaptation of William Golding’s novel "Lord of the Flies."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Elwin Target entity description: Roger Elwin is an actor best known for his role in the 1963 film adaptation of William Golding’s novel "Lord of the Flies."
-
A.
Roger Hawkins
Roger Hawkins was a renowned American session drummer best known as a key member of the Muscle Shoals Rhythm Section, playing on numerous classic soul and rock recordings.
-
B.
Roger Hawkins
Roger Hawkins is a musician best known as a member of the Athens, Georgia-based alternative rock band Love Tractor.
-
C.
Mark Elvin
Mark Elvin is a historian and sinologist known for his influential work on Chinese environmental and economic history.
-
D.
Rod Liddle
Rod Liddle is a British journalist and commentator known for his provocative columns and outspoken views on politics and culture.
-
E.
Michael Elwyn
Michael Elwyn is a Welsh actor known for his extensive work in British television, film, and theatre.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676924f48819095f6224c8d9bb257 |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087604669c81909a99c725fad640d5 |
completed | May 16, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0876f82dac8190a6c25fc0574a842a |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877ac99408190a31ee21894770334 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:06 a.m.