Triple
T36160264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TED Conferences, LLC |
E1045854
|
entity |
| Predicate | hasParentTopic |
P201501
|
FINISHED |
| Object | ideas |
—
|
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: ideas | Statement: [TED Conferences, LLC, hasParentTopic, ideas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentTopic Context triple: [TED Conferences, LLC, hasParentTopic, ideas]
-
A.
hasParentCategory
Indicates that an entity belongs to or is organized under a broader, more general category.
-
B.
hasParentUnit
Indicates that one unit is hierarchically contained within or belongs to another, higher-level unit.
-
C.
hasCanonicalTopic
Indicates that something is associated with its primary or standard topic as officially recognized or most commonly accepted.
-
D.
hasTopicType
Indicates that something is associated with, or categorized under, a particular type of topic.
-
E.
sometimesHasParent
Indicates that an entity has a particular parent entity in some, but not necessarily all, situations or contexts.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
| PDg | Predicate description generation | batch_69fffbb513c881909063ecf12467f4a6 |
completed | May 10, 2026, 3:29 a.m. |
Created at: May 3, 2026, 4:08 p.m.