Triple
T2418307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Milnor |
E52357
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object |
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
|
E277972
|
NE FINISHED |
How this triple was built (4 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: Ralph Fox | Statement: [John Milnor, doctoralAdvisor, Ralph Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Fox Context triple: [John Milnor, doctoralAdvisor, Ralph Fox]
-
A.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
B.
Ralph Simpson
Ralph Simpson is a former professional basketball guard best known for his high-scoring play in the American Basketball Association during the early 1970s.
-
C.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
D.
Ralph Miller
Ralph Miller was a highly respected American college basketball coach best known for transforming Oregon State University into a national contender during his long tenure.
-
E.
Ralph Hunt
Ralph Hunt is a personal name shared by multiple individuals, including various historical and contemporary figures across different fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ralph Fox Triple: [John Milnor, doctoralAdvisor, Ralph Fox]
Generated description
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralph Fox Target entity description: Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
A.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
B.
Ralph Simpson
Ralph Simpson is a former professional basketball guard best known for his high-scoring play in the American Basketball Association during the early 1970s.
-
C.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
D.
Ralph Miller
Ralph Miller was a highly respected American college basketball coach best known for transforming Oregon State University into a national contender during his long tenure.
-
E.
Ralph Hunt
Ralph Hunt is a personal name shared by multiple individuals, including various historical and contemporary figures across different fields.
- F. None of above. chosen
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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc950516c8190989591673de6b1f7 |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cd2e9808190aa124c6051d1fc98 |
completed | March 9, 2026, 11:50 p.m. |
| NEDg | Description generation | batch_69af5f63bee88190b748a45dcf667a2f |
completed | March 10, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5ff0186081908c3bad308b4aba50 |
completed | March 10, 2026, 12:04 a.m. |
Created at: March 6, 2026, 9:42 p.m.