Triple

T27141803
Position Surface form Disambiguated ID Type / Status
Subject Hilda Koopman E681833 entity
Predicate hasWritten P2831 FINISHED
Object “The Locality of Movement”
“The Locality of Movement” is a linguistics work by syntactician Hilda Koopman that investigates constraints on syntactic movement within generative grammar.
 E1758681 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: “The Locality of Movement” | Statement: [Hilda Koopman, hasWritten, “The Locality of 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: “The Locality of Movement”
Triple: [Hilda Koopman, hasWritten, “The Locality of Movement”]
Generated description
“The Locality of Movement” is a linguistics work by syntactician Hilda Koopman that investigates constraints on syntactic movement within generative grammar.

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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f624c1e6088190803b07b579b80680 completed May 2, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12482558188190b768d43f0382d980 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249514a4881909357bb4e1c502d2b completed May 24, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a124a0a69188190a543bca2b05b2402 completed May 24, 2026, 12:44 a.m.
Created at: April 27, 2026, 9:09 a.m.