Triple

T34810988

Position	Surface form	Disambiguated ID	Type / Status
Subject	assassination of Robert F. Kennedy	`E1003495`	entity
Predicate	medicalResponseLocation	`P8558`	FINISHED
Object	Good Samaritan Hospital (Los Angeles) Good Samaritan Hospital (Los Angeles) is a major medical center in downtown Los Angeles historically noted for treating Robert F. Kennedy after his 1968 assassination.	`E2113644`	NE FINISHED

How this triple was built (3 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: Good Samaritan Hospital (Los Angeles) | Statement: [assassination of Robert F. Kennedy, medicalResponseLocation, Good Samaritan Hospital (Los Angeles)]

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: Good Samaritan Hospital (Los Angeles)
Triple: [assassination of Robert F. Kennedy, medicalResponseLocation, Good Samaritan Hospital (Los Angeles)]

Generated description

Good Samaritan Hospital (Los Angeles) is a major medical center in downtown Los Angeles historically noted for treating Robert F. Kennedy after his 1968 assassination.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: medicalResponseLocation
Context triple: [assassination of Robert F. Kennedy, medicalResponseLocation, Good Samaritan Hospital (Los Angeles)]

A. hospitalLocation
Indicates the geographic place or address where a hospital is situated.
B. treatmentLocation chosen
Indicates the place or facility where a treatment or medical intervention is administered to an entity.
C. encounterLocation
Indicates the place or setting where two or more entities meet, interact, or come into contact.
D. apseLocation
Indicates the specific place or position where an apse is situated within a larger structure or context.
E. placeOfReception
Indicates the location where something (such as a person, item, or message) is received or accepted.
F. None of above.

Provenance (6 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_69f76db600b88190989abdf08fce3b27`	completed	May 3, 2026, 3:45 p.m.
NER	Named-entity recognition	`batch_69f77ab4a9dc8190ad41fb613f35ddad`	completed	May 3, 2026, 4:41 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a376fb3568081908c8ce4c8e76747e4`	completed	June 21, 2026, 4:59 a.m.
NEDg	Description generation	`batch_6a3770687b8c8190b271515f54eed3b8`	completed	June 21, 2026, 5:02 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37719691ac8190bc3ad20af00b1cf2`	completed	June 21, 2026, 5:07 a.m.
PD	Predicate disambiguation	`batch_69f7795b1abc8190823664d1caa94649`	completed	May 3, 2026, 4:35 p.m.

Created at: May 3, 2026, 3:59 p.m.