Triple
T14840357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Aiken |
E348944
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Mark Harrison
Mark Harrison is a fictional character portrayed by actor Liam Aiken.
|
E1132263
|
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: Mark Harrison | Statement: [Liam Aiken, playedCharacter, Mark Harrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Harrison Context triple: [Liam Aiken, playedCharacter, Mark Harrison]
-
A.
Michael Harnett
Michael Harnett is the birth name of Michael Hartnett, a prominent Irish poet known for his lyrical work in both English and Irish.
-
B.
Stephen Harrison
Stephen Harrison is a film editor known for his work on classic British cinema, including the historical drama "The Private Life of Henry VIII."
-
C.
Blake Harrison
Blake Harrison is a British actor best known for playing Neil Sutherland in the hit comedy series "The Inbetweeners."
-
D.
Mark Henderson
Mark Henderson is a British lighting designer renowned for his work in theatre, including numerous acclaimed West End and Broadway productions.
-
E.
Michael Higgs
Michael Higgs is a British actor known for his television roles, including appearances in series such as "The Bill" and "Bad Girls."
- 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: Mark Harrison Triple: [Liam Aiken, playedCharacter, Mark Harrison]
Generated description
Mark Harrison is a fictional character portrayed by actor Liam Aiken.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Harrison Target entity description: Mark Harrison is a fictional character portrayed by actor Liam Aiken.
-
A.
Michael Harnett
Michael Harnett is the birth name of Michael Hartnett, a prominent Irish poet known for his lyrical work in both English and Irish.
-
B.
Stephen Harrison
Stephen Harrison is a film editor known for his work on classic British cinema, including the historical drama "The Private Life of Henry VIII."
-
C.
Blake Harrison
Blake Harrison is a British actor best known for playing Neil Sutherland in the hit comedy series "The Inbetweeners."
-
D.
Mark Henderson
Mark Henderson is a British lighting designer renowned for his work in theatre, including numerous acclaimed West End and Broadway productions.
-
E.
Michael Higgs
Michael Higgs is a British actor known for his television roles, including appearances in series such as "The Bill" and "Bad Girls."
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9685aa5c8190b4e4d82af80f36f8 |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe9a98784881908aa5d05d0ca43067 |
completed | May 9, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9affea6c8190ae9b7cfef959b711 |
completed | May 9, 2026, 2:25 a.m. |
Created at: April 10, 2026, 1:53 a.m.