Triple
T28516617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innosight |
E721635
|
entity |
| Predicate | foundedByAcademic |
P187374
|
FINISHED |
| Object | Clayton M. Christensen |
—
|
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: Clayton M. Christensen | Statement: [Innosight, foundedByAcademic, Clayton M. Christensen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedByAcademic Context triple: [Innosight, foundedByAcademic, Clayton M. Christensen]
-
A.
associatedInstitutionFounder
Indicates that an entity is the founder or co-founder of a particular institution with which they are associated.
-
B.
representsAcademicInstitutionFoundedIn
Indicates that an academic institution was established or founded in a specific year or time period.
-
C.
academicRoots
Indicates a relationship where one entity’s scholarly background, training, or foundational academic influences originate from or are shaped by another entity.
-
D.
foundedAtInstitution
Indicates that an entity (such as an organization, company, or group) was established or created at a particular institution.
-
E.
foundedByAlumnusOf
Indicates that an entity (such as an organization or company) was founded by a person who is an alumnus of a specified educational institution.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: April 28, 2026, 3:17 a.m.