Triple
T10649023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanishing Point (1971 film) |
E250912
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Malcolm Hart
Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
|
E877201
|
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: Malcolm Hart | Statement: [Vanishing Point (1971 film), screenwriter, Malcolm Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Hart Context triple: [Vanishing Point (1971 film), screenwriter, Malcolm Hart]
-
A.
Malcolm Elliott
Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
-
B.
Malcolm Barbour
Malcolm Barbour is a television producer best known for co-creating the long-running reality TV series "Cops."
-
C.
Malcolm Simpson
Malcolm Simpson is a notable individual distinguished enough to be recognized as a prominent bearer of the Simpson surname.
-
D.
Malcolm Clarke
Malcolm Clarke was a British composer and sound engineer best known for his pioneering electronic music work on the television series Doctor Who.
-
E.
Malcolm Ross
Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
- 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: Malcolm Hart Triple: [Vanishing Point (1971 film), screenwriter, Malcolm Hart]
Generated description
Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malcolm Hart Target entity description: Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
-
A.
Malcolm Elliott
Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
-
B.
Malcolm Barbour
Malcolm Barbour is a television producer best known for co-creating the long-running reality TV series "Cops."
-
C.
Malcolm Simpson
Malcolm Simpson is a notable individual distinguished enough to be recognized as a prominent bearer of the Simpson surname.
-
D.
Malcolm Clarke
Malcolm Clarke was a British composer and sound engineer best known for his pioneering electronic music work on the television series Doctor Who.
-
E.
Malcolm Ross
Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e13913081908dd1fb60fa44db05 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:06 p.m.