Triple
T35808425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boss 'n' Hug Connection |
E1035162
|
entity |
| Predicate | defendedTitlesAcross |
P185994
|
FINISHED |
| Object | Raw |
—
|
NE NERFINISHED |
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: Raw | Statement: [The Boss 'n' Hug Connection, defendedTitlesAcross, Raw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendedTitlesAcross Context triple: [The Boss 'n' Hug Connection, defendedTitlesAcross, Raw]
-
A.
defendedTitleAgainst
Indicates that one entity successfully retained a title or championship by competing against and overcoming a specific opponent.
-
B.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
C.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
simultaneouslyHeldWorldTitlesIn
Indicates that the same entity held world championship titles in multiple categories or organizations at the same time within the specified domain or period.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:06 p.m.