Triple
T8431671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spooks |
E199127
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ros Myers
Ros Myers is a fictional MI5 officer and key protagonist in the British television spy drama series "Spooks."
|
E732752
|
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: Ros Myers | Statement: [Spooks, mainCharacter, Ros Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ros Myers Context triple: [Spooks, mainCharacter, Ros Myers]
-
A.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
B.
Kevin Myers
Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
-
C.
Harry Myers
Harry Myers was an American actor and director best remembered for his role as the eccentric millionaire in Charlie Chaplin’s classic silent film "City Lights."
-
D.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
E.
Sean Hurley
Sean Hurley is a musician best known as the bassist for the rock band Born and Raised.
- 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: Ros Myers Triple: [Spooks, mainCharacter, Ros Myers]
Generated description
Ros Myers is a fictional MI5 officer and key protagonist in the British television spy drama series "Spooks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ros Myers Target entity description: Ros Myers is a fictional MI5 officer and key protagonist in the British television spy drama series "Spooks."
-
A.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
B.
Kevin Myers
Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
-
C.
Harry Myers
Harry Myers was an American actor and director best remembered for his role as the eccentric millionaire in Charlie Chaplin’s classic silent film "City Lights."
-
D.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
E.
Sean Hurley
Sean Hurley is a musician best known as the bassist for the rock band Born and Raised.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce038902308190bff57c9ce14e72ed |
completed | April 2, 2026, 5:50 a.m. |
| NEDg | Description generation | batch_69ce07851c4081909a9468a386035bb2 |
completed | April 2, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce07ec00248190bb10fee54265c7f9 |
completed | April 2, 2026, 6:08 a.m. |
Created at: March 30, 2026, 6:07 p.m.