Triple
T9854168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | While She Was Out |
E239542
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Luis Chávez
Luis Chávez is an actor known for his role in the thriller film "While She Was Out."
|
E892325
|
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: Luis Chávez | Statement: [While She Was Out, starring, Luis Chávez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Chávez Context triple: [While She Was Out, starring, Luis Chávez]
-
A.
Raúl Chávez
Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
-
B.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
C.
José Chávez
José Chávez is a Spanish-speaking personal name shared by multiple individuals, most commonly associated with Latin American figures in sports, politics, and the arts.
-
D.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
E.
Jorge Gutiérrez
Jorge Gutiérrez is a Mexican professional basketball player and former standout guard for the University of California, Berkeley, who went on to play in the NBA and internationally.
- 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: Luis Chávez Triple: [While She Was Out, starring, Luis Chávez]
Generated description
Luis Chávez is an actor known for his role in the thriller film "While She Was Out."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Chávez Target entity description: Luis Chávez is an actor known for his role in the thriller film "While She Was Out."
-
A.
Raúl Chávez
Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
-
B.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
C.
José Chávez
José Chávez is a Spanish-speaking personal name shared by multiple individuals, most commonly associated with Latin American figures in sports, politics, and the arts.
-
D.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
E.
Jorge Gutiérrez
Jorge Gutiérrez is a Mexican professional basketball player and former standout guard for the University of California, Berkeley, who went on to play in the NBA and internationally.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15435faa881909b1a124f8027deeb |
completed | April 16, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69e17d3060888190b3801272835b939a |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1806bc1048190bcbff6f6d3d7da19 |
completed | April 17, 2026, 12:35 a.m. |
Created at: March 30, 2026, 8:34 p.m.