Triple
T37380612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leah Gosselin |
E928421
|
entity |
| Predicate | numberOfSextupletsInGroup |
P205874
|
FINISHED |
| Object | 6 |
—
|
LITERAL 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: 6 | Statement: [Leah Gosselin, numberOfSextupletsInGroup, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSextupletsInGroup Context triple: [Leah Gosselin, numberOfSextupletsInGroup, 6]
-
A.
numberOfGroups
Indicates the total count of distinct groups associated with or formed within a given context or entity.
-
B.
numberOfGroup
Indicates the total count of groups associated with or contained by a given entity.
-
C.
numberOfSporadicGroups
Indicates the quantitative relationship specifying how many sporadic groups are associated with or contained in a given mathematical context or structure.
-
D.
numberOfStringQuintets
Indicates the quantity of groups consisting of five string instruments involved in or associated with the subject.
-
E.
hasNumberInGroup
Indicates that an entity is associated with a specific numerical value that identifies its position, count, or role within a particular group.
- F. None of above. chosen
Provenance (4 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.