Triple

T23798682
Position Surface form Disambiguated ID Type / Status
Subject Chief Justice of Puerto Rico E588608 entity
Predicate officeHoldersInclude P537 FINISHED
Object José Trías Monge
José Trías Monge was a prominent Puerto Rican jurist, legal scholar, and political figure who played a key role in shaping the island’s modern constitutional and judicial framework.
E1607251 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: José Trías Monge | Statement: [Chief Justice of Puerto Rico, officeHoldersInclude, José Trías Monge]
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: José Trías Monge
Triple: [Chief Justice of Puerto Rico, officeHoldersInclude, José Trías Monge]
Generated description
José Trías Monge was a prominent Puerto Rican jurist, legal scholar, and political figure who played a key role in shaping the island’s modern constitutional and judicial framework.

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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6dea2888190b3ff1c96da5cfefb completed April 29, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f760c73e081908a5bb834cc82c383 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76a8397081909ddde2410c127208 completed May 21, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0f77e88a4c819099511cdcf7357ab7 completed May 21, 2026, 9:23 p.m.
Created at: April 17, 2026, 7:51 p.m.