Triple
T33637761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetness |
E861741
|
entity |
| Predicate | associatedWithPositionGroup |
P205249
|
FINISHED |
| Object | offensive backfield |
—
|
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: offensive backfield | Statement: [Sweetness, associatedWithPositionGroup, offensive backfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPositionGroup Context triple: [Sweetness, associatedWithPositionGroup, offensive backfield]
-
A.
associatedWithPositionHolderName
Indicates that an entity is linked to the name of the person or role currently holding a specific position.
-
B.
associatedWithCharacterGroup
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
C.
associatedWithOwnerGroup
Indicates a relationship where an entity is linked or belongs to a specific owner group that has responsibility or control over it.
-
D.
refersToGroupAssociatedWith
Indicates that one entity makes reference to a group that is associated or linked with another specified entity.
-
E.
associatedWithCityGroup
Indicates a relationship where an entity is linked or connected to a specific group or collection of cities.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:42 a.m.