Triple

T23837217
Position Surface form Disambiguated ID Type / Status
Subject firewall hypothesis E590886 entity
Predicate proposedBy P32 FINISHED
Object Donald Marolf
Donald Marolf is an American theoretical physicist known for his work on quantum gravity and black hole physics, including contributions to the black hole firewall paradox.
E1603724 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: Donald Marolf | Statement: [firewall hypothesis, proposedBy, Donald Marolf]
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: Donald Marolf
Triple: [firewall hypothesis, proposedBy, Donald Marolf]
Generated description
Donald Marolf is an American theoretical physicist known for his work on quantum gravity and black hole physics, including contributions to the black hole firewall paradox.

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_69e25d1de32c8190a907afe9c3d6cd6d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c883c7108190b3cce6fec0b8609a completed April 29, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69a372108190993dc497e8eaf81b completed May 21, 2026, 8:22 p.m.
NEDg Description generation batch_6a0f6d4007308190b2d474963d0a9b8c completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6df970a08190b1d3959a39b30233 completed May 21, 2026, 8:41 p.m.
Created at: April 17, 2026, 8:07 p.m.