Triple
T7450475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HOMFLY-PT polynomial |
E171994
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Yetter
Yetter is a mathematician known for contributions to knot theory and related areas of topology, including work connected to the HOMFLY-PT polynomial.
|
E665087
|
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: Yetter | Statement: [HOMFLY-PT polynomial, namedAfter, Yetter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yetter Context triple: [HOMFLY-PT polynomial, namedAfter, Yetter]
-
A.
Orval
Orval is a masculine given name most notably associated with American politician Orval Faubus, the governor of Arkansas during the Little Rock Integration Crisis.
-
B.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
C.
Gose
Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
-
D.
Gose
Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
-
E.
Hoodstar
Hoodstar is a studio album by American rapper Chingy that features his signature Midwestern hip hop sound and commercially oriented tracks.
- 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: Yetter Triple: [HOMFLY-PT polynomial, namedAfter, Yetter]
Generated description
Yetter is a mathematician known for contributions to knot theory and related areas of topology, including work connected to the HOMFLY-PT polynomial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yetter Target entity description: Yetter is a mathematician known for contributions to knot theory and related areas of topology, including work connected to the HOMFLY-PT polynomial.
-
A.
Orval
Orval is a masculine given name most notably associated with American politician Orval Faubus, the governor of Arkansas during the Little Rock Integration Crisis.
-
B.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
C.
Gose
Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
-
D.
Gose
Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
-
E.
Hoodstar
Hoodstar is a studio album by American rapper Chingy that features his signature Midwestern hip hop sound and commercially oriented tracks.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38af3fc8190bc5c57ca89d976bc |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b54a4881909f800bf37990a297 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828ca24bc81909357b9f40a9004af |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8297c1de4819099acfac611a519e5 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:14 p.m.