Triple

T22684455
Position Surface form Disambiguated ID Type / Status
Subject Boiler Room Girls E560871 entity
Predicate hasMember P10 FINISHED
Object Susan Tannenbaum
Susan Tannenbaum was a member of the “Boiler Room Girls,” a group of young female political staffers associated with Senator Ted Kennedy’s 1968 presidential campaign and later linked to the Chappaquiddick incident.
E1623911 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: Susan Tannenbaum | Statement: [Boiler Room Girls, hasMember, Susan Tannenbaum]
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: Susan Tannenbaum
Triple: [Boiler Room Girls, hasMember, Susan Tannenbaum]
Generated description
Susan Tannenbaum was a member of the “Boiler Room Girls,” a group of young female political staffers associated with Senator Ted Kennedy’s 1968 presidential campaign and later linked to the Chappaquiddick incident.

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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17862c8a48190912a8ad09dfda795 completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcd8bf508190a58916168e670264 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbef504f48190be6cc48730ce406d completed May 22, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf5058dc81908e82a9ec36103226 completed May 22, 2026, 2:28 a.m.
Created at: April 17, 2026, 3:12 p.m.