Triple
T14804816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strong Motion |
E348003
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Peter Holland
Peter Holland is the protagonist of the novel "Strong Motion," around whom the story’s central events and themes revolve.
|
E1121269
|
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: Peter Holland | Statement: [Strong Motion, mainCharacter, Peter Holland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Holland Context triple: [Strong Motion, mainCharacter, Peter Holland]
-
A.
Peter Hawkins
Peter Hawkins was a British voice actor best known for originating the iconic voices of the Daleks in the classic Doctor Who television series.
-
B.
Harry Holland
Harry Holland is a British actor and filmmaker best known as the younger brother of Spider-Man star Tom Holland and for his behind-the-scenes and cameo work on his brother’s films.
-
C.
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
D.
Owen Harper
Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
-
E.
Logan Goodman
Logan Goodman is the longtime spouse of American actor David Strathairn, known for maintaining a private life outside the public spotlight.
- 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: Peter Holland Triple: [Strong Motion, mainCharacter, Peter Holland]
Generated description
Peter Holland is the protagonist of the novel "Strong Motion," around whom the story’s central events and themes revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Holland Target entity description: Peter Holland is the protagonist of the novel "Strong Motion," around whom the story’s central events and themes revolve.
-
A.
Peter Hawkins
Peter Hawkins was a British voice actor best known for originating the iconic voices of the Daleks in the classic Doctor Who television series.
-
B.
Harry Holland
Harry Holland is a British actor and filmmaker best known as the younger brother of Spider-Man star Tom Holland and for his behind-the-scenes and cameo work on his brother’s films.
-
C.
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
D.
Owen Harper
Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
-
E.
Logan Goodman
Logan Goodman is the longtime spouse of American actor David Strathairn, known for maintaining a private life outside the public spotlight.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe2d9c08d0819094d3affc082f4f8a |
completed | May 8, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2e0b3514819097f2d9d63cb6a143 |
completed | May 8, 2026, 6:40 p.m. |
Created at: April 10, 2026, 1:34 a.m.