Triple

T29826983
Position Surface form Disambiguated ID Type / Status
Subject Shaquem Griffin E757406 entity
Predicate medicalCondition P1005 FINISHED
Object amniotic band syndrome
Amniotic band syndrome is a rare congenital disorder in which fibrous bands in the womb constrict parts of a developing fetus, often leading to limb deformities or amputations.
E1887144 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: amniotic band syndrome | Statement: [Shaquem Griffin, medicalCondition, amniotic band syndrome]
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: amniotic band syndrome
Triple: [Shaquem Griffin, medicalCondition, amniotic band syndrome]
Generated description
Amniotic band syndrome is a rare congenital disorder in which fibrous bands in the womb constrict parts of a developing fetus, often leading to limb deformities or amputations.

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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67598dff081908ff0ec79a48b55ec completed May 2, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5fecf2881909c598022cdf2ed07 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e6a791bc8190a52d36decacde222 completed June 8, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_6a26e7ff07bc8190b23d1a9793f5233b completed June 8, 2026, 4:04 p.m.
Created at: April 29, 2026, 5:32 p.m.