Triple
T32026770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver R. Smoot |
E817837
|
entity |
| Predicate | hasMeasurementUnitNamedAfter |
P116407
|
FINISHED |
| Object |
smoot
The smoot is a humorous, nonstandard unit of length originating from an MIT fraternity prank in 1958, defined by the height of Oliver R. Smoot.
|
E1988231
|
NE FINISHED |
How this triple was built (3 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: smoot | Statement: [Oliver R. Smoot, hasMeasurementUnitNamedAfter, smoot]
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: smoot Triple: [Oliver R. Smoot, hasMeasurementUnitNamedAfter, smoot]
Generated description
The smoot is a humorous, nonstandard unit of length originating from an MIT fraternity prank in 1958, defined by the height of Oliver R. Smoot.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeasurementUnitNamedAfter Context triple: [Oliver R. Smoot, hasMeasurementUnitNamedAfter, smoot]
-
A.
measurementUnitNamedAfterDiscoverer
Indicates that a measurement unit is named after the person who discovered or originated the underlying concept, quantity, or phenomenon it measures.
-
B.
hasEponymousUnit
chosen
Indicates that something is named after a person or entity as its eponym.
-
C.
hasMeasurementNamedAfter
Indicates that a measurement unit or scale is named in honor of a particular entity.
-
D.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
E.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
- F. None of above.
Provenance (6 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ed4eff9188190a3c20a7b491b743d |
completed | June 14, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_6a2ed5d5e50481909643301cbb095e03 |
completed | June 14, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2ed721fb788190ba3719843972260f |
completed | June 14, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: May 1, 2026, 12:17 a.m.