Triple
T7093142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melinda |
E165250
|
entity |
| Predicate | roleInTrialContext |
P65951
|
FINISHED |
| Object | observer of the trial |
—
|
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: observer of the trial | Statement: [Melinda, roleInTrialContext, observer of the trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTrialContext Context triple: [Melinda, roleInTrialContext, observer of the trial]
-
A.
trialRoleInField
chosen
Indicates the specific role or function an entity has within a particular trial in a given field or domain.
-
B.
roleInResearch
Indicates that an entity participates in a research activity with a specified function, position, or responsibility within that research.
-
C.
relatedTrial
Indicates that one trial is associated with another trial, typically through relevance, similarity, or shared context within a broader study or legal/experimental framework.
-
D.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
E.
hasKeyClinicalTrial
Indicates that an entity is associated with a primary or pivotal clinical trial that is especially important for its evaluation or approval.
- F. None of above.
Provenance (3 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.