Triple
T33122623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballroom 20 |
E847638
|
entity |
| Predicate | programmingTier |
P180460
|
FINISHED |
| Object | second only to Hall H in prominence at San Diego Comic-Con |
—
|
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: second only to Hall H in prominence at San Diego Comic-Con | Statement: [Ballroom 20, programmingTier, second only to Hall H in prominence at San Diego Comic-Con]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmingTier Context triple: [Ballroom 20, programmingTier, second only to Hall H in prominence at San Diego Comic-Con]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
C.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
-
D.
includeSkillLevel
Indicates that a specified skill is associated with an entity together with a particular proficiency or mastery level.
-
E.
intendedPlayerLevel
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: May 1, 2026, 1:27 a.m.