Triple

T28289285
Position Surface form Disambiguated ID Type / Status
Subject Elliott Fitch Shepard E713377 entity
Predicate child P120 FINISHED
Object Margaret Shepard
Margaret Shepard is a member of the prominent Shepard family, known primarily as the daughter of American lawyer and newspaper owner Elliott Fitch Shepard.
 E1967425 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: Margaret Shepard | Statement: [Elliott Fitch Shepard, child, Margaret Shepard]
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: Margaret Shepard
Triple: [Elliott Fitch Shepard, child, Margaret Shepard]
Generated description
Margaret Shepard is a member of the prominent Shepard family, known primarily as the daughter of American lawyer and newspaper owner Elliott Fitch Shepard.

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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f644825d308190a1bfd0e202c7f58b completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d566d808190be1a912f41a10309 completed June 11, 2026, 9:49 p.m.
NEDg Description generation batch_6a2b302cf4e081909f90d2dd5051e185 completed June 11, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a2b30f43dd48190bc9a9ffd91ce595d completed June 11, 2026, 10:04 p.m.
Created at: April 27, 2026, 11:28 p.m.