Triple
T9741603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue 5 |
E236197
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Ryan Clark
Ryan Clark is the inept yet charismatic captain of the space cruise ship in the HBO sci-fi comedy series "Avenue 5."
|
E818840
|
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: Ryan Clark | Statement: [Avenue 5, character, Ryan Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Clark Context triple: [Avenue 5, character, Ryan Clark]
-
A.
Ryan Clark
Ryan Clark is the husband of English actress Katherine Kelly, known for her roles in British television dramas.
-
B.
Kyle Ward
Kyle Ward is a screenwriter best known for penning the action film "Machete Kills."
-
C.
Grant Matthews
Grant Matthews is the ambitious, idealistic businessman-turned-presidential-candidate who serves as the central figure in the political drama film "State of the Union."
-
D.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
E.
Edward Cole
Edward Cole is a wealthy, cynical hospital magnate who, after being diagnosed with terminal cancer, embarks on a transformative around-the-world adventure to complete a "bucket list" of life goals in the film "The Bucket List."
- 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: Ryan Clark Triple: [Avenue 5, character, Ryan Clark]
Generated description
Ryan Clark is the inept yet charismatic captain of the space cruise ship in the HBO sci-fi comedy series "Avenue 5."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Clark Target entity description: Ryan Clark is the inept yet charismatic captain of the space cruise ship in the HBO sci-fi comedy series "Avenue 5."
-
A.
Ryan Clark
Ryan Clark is the husband of English actress Katherine Kelly, known for her roles in British television dramas.
-
B.
Kyle Ward
Kyle Ward is a screenwriter best known for penning the action film "Machete Kills."
-
C.
Grant Matthews
Grant Matthews is the ambitious, idealistic businessman-turned-presidential-candidate who serves as the central figure in the political drama film "State of the Union."
-
D.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
E.
Edward Cole
Edward Cole is a wealthy, cynical hospital magnate who, after being diagnosed with terminal cancer, embarks on a transformative around-the-world adventure to complete a "bucket list" of life goals in the film "The Bucket List."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1aff2339c8190b164b13b54a40cec |
completed | April 5, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d1b08ba1f48190830852f9d60e3368 |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:23 p.m.