Triple
T14201958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuskegee syphilis study |
E351984
|
entity |
| Predicate | participantsToldTheyHad |
P113189
|
FINISHED |
| Object | “bad blood” |
—
|
LITERAL 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: “bad blood” | Statement: [Tuskegee syphilis study, participantsToldTheyHad, “bad blood”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantsToldTheyHad Context triple: [Tuskegee syphilis study, participantsToldTheyHad, “bad blood”]
-
A.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
B.
endedParticipationOf
Indicates that one entity caused or marked the termination of another entity’s involvement in an activity, event, or relationship.
-
C.
vowOfParticipants
Indicates that certain participants formally promise or commit themselves to a specified action, condition, or relationship.
-
D.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
-
E.
hasPeopleInvolved
Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
- F. None of above. chosen
Provenance (4 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f589a08190b71ad4e69d92ffd0 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:05 a.m.