Triple
T26316755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colossal Biosciences |
E661991
|
entity |
| Predicate | hasScientificAdvisor |
P36354
|
FINISHED |
| Object | George Church |
—
|
NE NERFINISHED |
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: George Church | Statement: [Colossal Biosciences, hasScientificAdvisor, George Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificAdvisor Context triple: [Colossal Biosciences, hasScientificAdvisor, George Church]
-
A.
academicAdvisorOfAuthor
Indicates that one person serves as the academic advisor or mentor responsible for guiding the author in their scholarly or research activities.
-
B.
postdoctoralAdvisor
Indicates that one person served as the postdoctoral research advisor or mentor to another person.
-
C.
advisorOf
chosen
Indicates that one entity serves as an advisor, providing guidance or counsel, to another entity.
-
D.
partnerInScienceLegacy
Indicates a collaborative relationship where entities jointly contribute to, share in, or are associated with a lasting scientific legacy.
-
E.
hasDoctoralStudentsThrough
Indicates that one entity has doctoral students indirectly through another entity, such as via co-supervision, program affiliation, or intermediary supervision relationships.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 10:25 p.m.