Triple
T2771098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobra |
E61456
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Andrew Robinson
Andrew Robinson is an American actor best known for his roles in films like "Dirty Harry" and the TV series "Star Trek: Deep Space Nine."
|
E353007
|
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: Andrew Robinson | Statement: [Cobra, starring, Andrew Robinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Robinson Context triple: [Cobra, starring, Andrew Robinson]
-
A.
Andrew Robathan
Andrew Robathan is a British Conservative politician and former Member of Parliament who served in various ministerial roles, particularly in defence.
-
B.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
C.
Ben Rogers
Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
- 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: Andrew Robinson Triple: [Cobra, starring, Andrew Robinson]
Generated description
Andrew Robinson is an American actor best known for his roles in films like "Dirty Harry" and the TV series "Star Trek: Deep Space Nine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Robinson Target entity description: Andrew Robinson is an American actor best known for his roles in films like "Dirty Harry" and the TV series "Star Trek: Deep Space Nine."
-
A.
Andrew Robathan
Andrew Robathan is a British Conservative politician and former Member of Parliament who served in various ministerial roles, particularly in defence.
-
B.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
C.
Ben Rogers
Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6a23208190ba94c9a9f601a042 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b333feff988190831b50d87892b9c1 |
completed | March 12, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69b337b1ae5c8190b3015c2f3f6c0b4d |
completed | March 12, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3381669f08190a0ec7a75b160a835 |
completed | March 12, 2026, 10:03 p.m. |
Created at: March 6, 2026, 9:57 p.m.