Triple
T22213569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odom |
E549015
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Chris Odom
Chris Odom is a professional American football defensive end who has played in the NFL and other leagues.
|
E1524533
|
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: Chris Odom | Statement: [Odom, hasNotableBearer, Chris Odom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Odom Context triple: [Odom, hasNotableBearer, Chris Odom]
-
A.
Ben Browder
Ben Browder is an American actor best known for his leading roles in the science fiction television series Farscape and Stargate SG-1.
-
B.
Gene Draper
Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
-
C.
Josh Brener
Josh Brener is an American actor best known for his comedic roles in television series like "Silicon Valley" and films such as "The Internship."
-
D.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
-
E.
Jesse L. Martin
Jesse L. Martin is an American actor and singer best known for his roles as Detective Ed Green on "Law & Order" and Tom Collins in the original Broadway production of "Rent."
- 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: Chris Odom Triple: [Odom, hasNotableBearer, Chris Odom]
Generated description
Chris Odom is a professional American football defensive end who has played in the NFL and other leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Odom Target entity description: Chris Odom is a professional American football defensive end who has played in the NFL and other leagues.
-
A.
Ben Browder
Ben Browder is an American actor best known for his leading roles in the science fiction television series Farscape and Stargate SG-1.
-
B.
Gene Draper
Gene Draper is the infant son of Don and Betty Draper on the television series "Mad Men," named after Betty's late father.
-
C.
Josh Brener
Josh Brener is an American actor best known for his comedic roles in television series like "Silicon Valley" and films such as "The Internship."
-
D.
Kris Marshall
Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
-
E.
Jesse L. Martin
Jesse L. Martin is an American actor and singer best known for his roles as Detective Ed Green on "Law & Order" and Tom Collins in the original Broadway production of "Rent."
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2d607c81909511761b5563ddee |
completed | April 28, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa620e0b48190ba80ddcd0abf8c96 |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa794f2cc8190889e0eeb2a22f376 |
completed | May 18, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa7f7a13481908ab0bf80e1d7dfe1 |
completed | May 18, 2026, 5:47 a.m. |
Created at: April 16, 2026, 8:37 p.m.