Triple
T18135688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Armendáriz |
E434128
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
The Torch
The Torch is a 1950 Mexican-American historical drama film directed by Emilio Fernández and starring Pedro Armendáriz, centered on revolution and romantic conflict in a small Mexican town.
|
E1307359
|
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: The Torch | Statement: [Pedro Armendáriz, appearedIn, The Torch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Torch Context triple: [Pedro Armendáriz, appearedIn, The Torch]
-
A.
Torchbearer
Torchbearer is a superhero alias of Kyle Rayner, a prominent Green Lantern known for carrying on the legacy of the Green Lantern Corps.
-
B.
The Fire
"The Fire" is a song by American rock band Papa Roach from their album *The Paramour Sessions*.
-
C.
The Fire
The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
-
D.
Torches
"Torches" is a song by the band Revolutions per Minute, likely featuring their characteristic energetic rock sound and socially charged themes.
-
E.
The Burning
"The Burning" is a popular episode of the sitcom *Seinfeld*, best known for featuring George Costanza’s “jerk store” comeback and Kramer’s storyline about medical students observing operations.
- 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: The Torch Triple: [Pedro Armendáriz, appearedIn, The Torch]
Generated description
The Torch is a 1950 Mexican-American historical drama film directed by Emilio Fernández and starring Pedro Armendáriz, centered on revolution and romantic conflict in a small Mexican town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Torch Target entity description: The Torch is a 1950 Mexican-American historical drama film directed by Emilio Fernández and starring Pedro Armendáriz, centered on revolution and romantic conflict in a small Mexican town.
-
A.
Torchbearer
Torchbearer is a superhero alias of Kyle Rayner, a prominent Green Lantern known for carrying on the legacy of the Green Lantern Corps.
-
B.
The Fire
"The Fire" is a song by American rock band Papa Roach from their album *The Paramour Sessions*.
-
C.
The Fire
The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
-
D.
Torches
"Torches" is a song by the band Revolutions per Minute, likely featuring their characteristic energetic rock sound and socially charged themes.
-
E.
The Burning
"The Burning" is a popular episode of the sitcom *Seinfeld*, best known for featuring George Costanza’s “jerk store” comeback and Kramer’s storyline about medical students observing operations.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0677088190aaf584882b3d74a1 |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03854b5f0c8190b98070b06f67a766 |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a03861898948190b3ada048d9ea274c |
completed | May 12, 2026, 7:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0386bb53b88190b5cc7e747a9da903 |
completed | May 12, 2026, 7:59 p.m. |
Created at: April 10, 2026, 10:29 a.m.