Triple
T17448617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragonslayer |
E424851
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
John Hallam
John Hallam was a British character actor known for his imposing presence and frequent roles in fantasy and historical films and television series.
|
E1270816
|
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: John Hallam | Statement: [Dragonslayer, stars, John Hallam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hallam Context triple: [Dragonslayer, stars, John Hallam]
-
A.
Henry Hallett
Henry Hallett was an individual significant enough in polar or maritime exploration or support to have Cape Hallett in Antarctica named in his honor.
-
B.
Henry Halls
Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
C.
Peter Tuddenham
Peter Tuddenham was a British actor best known to science fiction fans for voicing multiple characters in classic series such as Doctor Who and Blake's 7.
-
D.
Richard Carlisle
Richard Carlisle is a wealthy, self-made newspaper magnate and ambitious suitor in the British period drama series "Downton Abbey."
-
E.
Paul Hall
Paul Hall is a film producer best known for his work on major studio projects, including the 2000 action-crime film "Shaft."
- 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: John Hallam Triple: [Dragonslayer, stars, John Hallam]
Generated description
John Hallam was a British character actor known for his imposing presence and frequent roles in fantasy and historical films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Hallam Target entity description: John Hallam was a British character actor known for his imposing presence and frequent roles in fantasy and historical films and television series.
-
A.
Henry Hallett
Henry Hallett was an individual significant enough in polar or maritime exploration or support to have Cape Hallett in Antarctica named in his honor.
-
B.
Henry Halls
Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
C.
Peter Tuddenham
Peter Tuddenham was a British actor best known to science fiction fans for voicing multiple characters in classic series such as Doctor Who and Blake's 7.
-
D.
Richard Carlisle
Richard Carlisle is a wealthy, self-made newspaper magnate and ambitious suitor in the British period drama series "Downton Abbey."
-
E.
Paul Hall
Paul Hall is a film producer best known for his work on major studio projects, including the 2000 action-crime film "Shaft."
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513b99908190a6b5833559856c8b |
completed | April 19, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b81dfb2881908ca71386ef51d154 |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b91e53bc8190afe1843b8a9bfd6e |
completed | May 11, 2026, 11:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b983d99c8190894f535e95b5329a |
completed | May 11, 2026, 11:12 a.m. |
Created at: April 10, 2026, 5:47 a.m.