Triple
T26673231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shock and Awe: The Story of Electricity |
E672389
|
entity |
| Predicate | featuresScientist |
P12589
|
FINISHED |
| Object | Michael Faraday |
—
|
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: Michael Faraday | Statement: [Shock and Awe: The Story of Electricity, featuresScientist, Michael Faraday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresScientist Context triple: [Shock and Awe: The Story of Electricity, featuresScientist, Michael Faraday]
-
A.
notableScientist
Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
-
B.
producedScientist
Indicates that an entity (such as an institution, organization, or place) has produced, trained, or given rise to a particular scientist.
-
C.
typeOfScientist
Indicates that one entity is a scientist and the other specifies the kind or specialization of that scientist.
-
D.
involvedScientist
chosen
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
-
E.
scienceReturn
Indicates that an action or process yields scientific data, findings, or value as its outcome.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 3:14 a.m.