Triple
T33888374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John M. Olin Foundation |
E868690
|
entity |
| Predicate | notableProgram |
P4
|
FINISHED |
| Object |
John M. Olin Fellows in Law and Economics
John M. Olin Fellows in Law and Economics is a fellowship program that supports scholars and students specializing in the intersection of legal studies and economic analysis.
|
E868690
|
NE 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: John M. Olin Fellows in Law and Economics | Statement: [John M. Olin Foundation, notableProgram, John M. Olin Fellows in Law and Economics]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John M. Olin Fellows in Law and Economics Triple: [John M. Olin Foundation, notableProgram, John M. Olin Fellows in Law and Economics]
Generated description
John M. Olin Fellows in Law and Economics is a fellowship program that supports scholars and students specializing in the intersection of legal studies and economic analysis.
Provenance (5 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7014211f881909cd604b199400d92 |
completed | May 3, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36763426308190b94a76586e2208f7 |
completed | June 20, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_6a3676a116cc81909ee883bc32fb5035 |
completed | June 20, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36772ae3308190849be7395a7adcde |
completed | June 20, 2026, 11:19 a.m. |
Created at: May 1, 2026, 1:48 a.m.