Triple

T37386191
Position Surface form Disambiguated ID Type / Status
Subject Roque Dalton E928572 entity
Predicate notableWork P4 FINISHED
Object Miguel Mármol
Miguel Mármol is a biographical and testimonial work by Salvadoran poet and revolutionary Roque Dalton that chronicles the life and struggles of communist activist Miguel Mármol in El Salvador.
E2283953 NE FINISHED

How this triple was built (2 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: Miguel Mármol | Statement: [Roque Dalton, notableWork, Miguel Mármol]
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: Miguel Mármol
Triple: [Roque Dalton, notableWork, Miguel Mármol]
Generated description
Miguel Mármol is a biographical and testimonial work by Salvadoran poet and revolutionary Roque Dalton that chronicles the life and struggles of communist activist Miguel Mármol in El Salvador.

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_69f76eb9e66881908534cf22d04c3b5a completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8d345a0c8190b0d3aa8be3126c94 completed May 6, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4312f43c6c819084aad3e93f1b9409 completed June 30, 2026, 12:51 a.m.
NEDg Description generation batch_6a4313cf12e88190a85b21581e5009c6 completed June 30, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a4314103fd4819099ac5f799ffda6b6 completed June 30, 2026, 12:55 a.m.
Created at: May 3, 2026, 4:16 p.m.