Triple
T19453322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me |
E486670
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mark Kelly
Mark Kelly is an American actor known for his work in independent films and television, including a leading role in the dark comedy "Take Me."
|
E1377613
|
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 Kelly | Statement: [Take Me, starring, Mark Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kelly Context triple: [Take Me, starring, Mark Kelly]
-
A.
Mark Kelly
Mark Kelly is an Irish-born keyboardist best known as a longtime member of the British neo-progressive rock band Marillion.
-
B.
Chris Sullivan
Chris Sullivan is an American actor best known for his role as Toby Damon on the television drama series "This Is Us."
-
C.
Terry W. Virts
Terry W. Virts is a retired NASA astronaut and U.S. Air Force colonel who flew on the Space Shuttle and later commanded the International Space Station.
-
D.
Kyle Sullivan
Kyle Sullivan is an American actor best known for his television roles in series such as "The War at Home" and the sketch comedy show "All That."
-
E.
Mark E. Kelly
Mark E. Kelly is a retired NASA astronaut and U.S. Navy captain who later became a United States Senator from Arizona.
- 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 Kelly Triple: [Take Me, starring, Mark Kelly]
Generated description
Mark Kelly is an American actor known for his work in independent films and television, including a leading role in the dark comedy "Take Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Kelly Target entity description: Mark Kelly is an American actor known for his work in independent films and television, including a leading role in the dark comedy "Take Me."
-
A.
Mark Kelly
Mark Kelly is an Irish-born keyboardist best known as a longtime member of the British neo-progressive rock band Marillion.
-
B.
Chris Sullivan
Chris Sullivan is an American actor best known for his role as Toby Damon on the television drama series "This Is Us."
-
C.
Terry W. Virts
Terry W. Virts is a retired NASA astronaut and U.S. Air Force colonel who flew on the Space Shuttle and later commanded the International Space Station.
-
D.
Kyle Sullivan
Kyle Sullivan is an American actor best known for his television roles in series such as "The War at Home" and the sketch comedy show "All That."
-
E.
Mark E. Kelly
Mark E. Kelly is a retired NASA astronaut and U.S. Navy captain who later became a United States Senator from Arizona.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b33395081909ac7e5406843da5c |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073ba7f03481908ed5c06a46c0a029 |
completed | May 15, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073cae2df481908ed9a0ee0bc14fd5 |
completed | May 15, 2026, 3:33 p.m. |
Created at: April 10, 2026, 1:38 p.m.