Triple
T20124064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F.Y.P |
E490697
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mike Felix
Mike Felix is a musician best known as a member of the punk rock band F.Y.P (Five Year Plan).
|
E1413179
|
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: Mike Felix | Statement: [F.Y.P, hasMember, Mike Felix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Felix Context triple: [F.Y.P, hasMember, Mike Felix]
-
A.
Steve Frazelli
Steve Frazelli is the primary antagonist in the 2003 heist film "The Italian Job," a duplicitous thief who betrays his crew to steal their gold.
-
B.
Mike O'Brien
Mike O'Brien is an American comedian, writer, and producer best known for his work on Saturday Night Live and for creating the sitcom A.P. Bio.
-
C.
Mike O'Connell
Mike O'Connell is a former professional ice hockey defenseman and NHL executive best known for his tenure as general manager of the Boston Bruins.
-
D.
Mike Tucker
Mike Tucker is a fictional character from the long-running British science fiction television series "Doctor Who."
-
E.
Matt Gerald
Matt Gerald is an American actor known for his supporting roles in films and television series, including appearances in action and crime dramas.
- 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: Mike Felix Triple: [F.Y.P, hasMember, Mike Felix]
Generated description
Mike Felix is a musician best known as a member of the punk rock band F.Y.P (Five Year Plan).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Felix Target entity description: Mike Felix is a musician best known as a member of the punk rock band F.Y.P (Five Year Plan).
-
A.
Steve Frazelli
Steve Frazelli is the primary antagonist in the 2003 heist film "The Italian Job," a duplicitous thief who betrays his crew to steal their gold.
-
B.
Mike O'Brien
Mike O'Brien is an American comedian, writer, and producer best known for his work on Saturday Night Live and for creating the sitcom A.P. Bio.
-
C.
Mike O'Connell
Mike O'Connell is a former professional ice hockey defenseman and NHL executive best known for his tenure as general manager of the Boston Bruins.
-
D.
Mike Tucker
Mike Tucker is a fictional character from the long-running British science fiction television series "Doctor Who."
-
E.
Matt Gerald
Matt Gerald is an American actor known for his supporting roles in films and television series, including appearances in action and crime dramas.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd7d19481908fed99f3c37b91bf |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082f03be608190a68d27656d33fe5e |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082faf0ca48190a498079bda6fb96f |
completed | May 16, 2026, 8:49 a.m. |
Created at: April 11, 2026, 11:30 p.m.