Triple
T13109475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hacks |
E310932
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Jimmy LuSaque
Jimmy LuSaque is a character from the satirical tech-industry television series "Hacks."
|
E1021510
|
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: Jimmy LuSaque | Statement: [Hacks, featuresCharacter, Jimmy LuSaque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy LuSaque Context triple: [Hacks, featuresCharacter, Jimmy LuSaque]
-
A.
Tony Pizarro
Tony Pizarro is a hip-hop producer and engineer best known for his work with Tupac Shakur on several landmark tracks and albums in the 1990s.
-
B.
Alfonso "French" Sosa
Alfonso "French" Sosa is a fictional character portrayed by actor Brandon Perea, known for his energetic and charismatic presence in the story.
-
C.
Anthony Calvillo
Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
-
D.
René Echevarria
René Echevarria is an American television writer and producer known for his work on series such as Star Trek: Deep Space Nine, Dark Angel, and Terra Nova.
-
E.
Tomas Lopez
Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
- 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: Jimmy LuSaque Triple: [Hacks, featuresCharacter, Jimmy LuSaque]
Generated description
Jimmy LuSaque is a character from the satirical tech-industry television series "Hacks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jimmy LuSaque Target entity description: Jimmy LuSaque is a character from the satirical tech-industry television series "Hacks."
-
A.
Tony Pizarro
Tony Pizarro is a hip-hop producer and engineer best known for his work with Tupac Shakur on several landmark tracks and albums in the 1990s.
-
B.
Alfonso "French" Sosa
Alfonso "French" Sosa is a fictional character portrayed by actor Brandon Perea, known for his energetic and charismatic presence in the story.
-
C.
Anthony Calvillo
Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
-
D.
René Echevarria
René Echevarria is an American television writer and producer known for his work on series such as Star Trek: Deep Space Nine, Dark Angel, and Terra Nova.
-
E.
Tomas Lopez
Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e37023d48190ba6a0b790ed23370 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:05 p.m.