Triple
T7450470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HOMFLY-PT polynomial |
E171994
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Hoste
Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
|
E665083
|
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: Hoste | Statement: [HOMFLY-PT polynomial, namedAfter, Hoste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoste Context triple: [HOMFLY-PT polynomial, namedAfter, Hoste]
-
A.
d’Hostun
d’Hostun is a French noble family name historically associated with military leaders such as Marshal Tallard.
-
B.
Hospodar
Hospodar was a historical title used for princes or rulers in Eastern European principalities, particularly in the Danubian regions.
-
C.
Germanotta
Germanotta is the Italian-origin surname of American pop icon Lady Gaga (Stefani Joanne Angelina Germanotta) and her family.
-
D.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
E.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
- 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: Hoste Triple: [HOMFLY-PT polynomial, namedAfter, Hoste]
Generated description
Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoste Target entity description: Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
-
A.
d’Hostun
d’Hostun is a French noble family name historically associated with military leaders such as Marshal Tallard.
-
B.
Hospodar
Hospodar was a historical title used for princes or rulers in Eastern European principalities, particularly in the Danubian regions.
-
C.
Germanotta
Germanotta is the Italian-origin surname of American pop icon Lady Gaga (Stefani Joanne Angelina Germanotta) and her family.
-
D.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
E.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
- 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.