Triple

T28484168
Position Surface form Disambiguated ID Type / Status
Subject Mir-Hossein Mousavi E720780 entity
Predicate movement P81 FINISHED
Object Green Movement
The Green Movement is an Iranian political and social reform movement that emerged after the disputed 2009 presidential election, advocating for civil rights, electoral transparency, and democratic change.
 E1819999 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: Green Movement | Statement: [Mir-Hossein Mousavi, movement, Green Movement]
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: Green Movement
Triple: [Mir-Hossein Mousavi, movement, Green Movement]
Generated description
The Green Movement is an Iranian political and social reform movement that emerged after the disputed 2009 presidential election, advocating for civil rights, electoral transparency, and democratic change.

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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f0efb7c81909689430f9feec052 completed May 2, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1641a0da3c8190bf94ef4346076573 completed May 27, 2026, 12:58 a.m.
NEDg Description generation batch_6a16431767a08190bfb4e8bb2c724254 completed May 27, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_6a164428d3c881908fcb9ef513dfc69e completed May 27, 2026, 1:08 a.m.
Created at: April 28, 2026, 2:57 a.m.