Triple
T5506064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamal Lyon |
E144442
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object |
Michael Sanchez
Michael Sanchez is a recurring character on the television series "Empire," known for his romantic involvement with Jamal Lyon.
|
E533327
|
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: Michael Sanchez | Statement: [Jamal Lyon, hasRelationshipWith, Michael Sanchez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Sanchez Context triple: [Jamal Lyon, hasRelationshipWith, Michael Sanchez]
-
A.
Frank Sanchez
Frank Sanchez is a musician known for being a member of the influential American folk and pop group The Kingston Trio.
-
B.
Ricardo Sanchez
Ricardo Sanchez is a retired U.S. Army lieutenant general who led coalition ground forces in Iraq during the early stages of the Iraq War.
-
C.
Anthony Muñoz
Anthony Muñoz is a legendary former offensive tackle widely regarded as one of the greatest players in NFL history.
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Richard Anthony Marin
Richard Anthony Marin, better known as Cheech Marin, is an American comedian, actor, and musician famed for his work in the Cheech & Chong comedy duo and in films and television.
- 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: Michael Sanchez Triple: [Jamal Lyon, hasRelationshipWith, Michael Sanchez]
Generated description
Michael Sanchez is a recurring character on the television series "Empire," known for his romantic involvement with Jamal Lyon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Sanchez Target entity description: Michael Sanchez is a recurring character on the television series "Empire," known for his romantic involvement with Jamal Lyon.
-
A.
Frank Sanchez
Frank Sanchez is a musician known for being a member of the influential American folk and pop group The Kingston Trio.
-
B.
Ricardo Sanchez
Ricardo Sanchez is a retired U.S. Army lieutenant general who led coalition ground forces in Iraq during the early stages of the Iraq War.
-
C.
Anthony Muñoz
Anthony Muñoz is a legendary former offensive tackle widely regarded as one of the greatest players in NFL history.
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Richard Anthony Marin
Richard Anthony Marin, better known as Cheech Marin, is an American comedian, actor, and musician famed for his work in the Cheech & Chong comedy duo and in films and television.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027b7ef2481908b43f34721b8a8b3 |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c03d668fe88190a1cf88b0708b405f |
completed | March 22, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03de30928819094af492af0281130 |
completed | March 22, 2026, 7:07 p.m. |
Created at: March 22, 2026, 3:32 p.m.