Triple
T19376787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Jiankui |
E484689
|
entity |
| Predicate | aimedToConfer |
P129857
|
FINISHED |
| Object | HIV resistance in edited babies |
—
|
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: HIV resistance in edited babies | Statement: [He Jiankui, aimedToConfer, HIV resistance in edited babies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimedToConfer Context triple: [He Jiankui, aimedToConfer, HIV resistance in edited babies]
-
A.
aimedToGrant
chosen
Indicates an intention or effort to provide or confer something (such as a right, benefit, or permission) to a recipient.
-
B.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
C.
aimedToFacilitate
Indicates an action or arrangement that was intentionally designed to make another process, event, or outcome easier or more likely to occur.
-
D.
aimedToEstablish
Indicates an intention or effort directed toward creating, founding, or setting up something.
-
E.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.