Triple
T37488851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Harris |
E931615
|
entity |
| Predicate | originatedInWorkFirstAiredOn |
P54145
|
FINISHED |
| Object | ITV |
E32241
|
NE 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: ITV | Statement: [Lauren Harris, originatedInWorkFirstAiredOn, ITV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatedInWorkFirstAiredOn Context triple: [Lauren Harris, originatedInWorkFirstAiredOn, ITV]
-
A.
premieredInWorkPremiereYear
Indicates the year in which a work (such as a performance, film, or composition) had its first public premiere.
-
B.
originallyPremieredInYear
Indicates the calendar year in which something (such as a work, show, or event) first premiered or was initially released.
-
C.
createdForWorkPremieredIn
Indicates that a work was created specifically for a particular premiere event that took place in a given location or context.
-
D.
originallyAiredIn
chosen
Indicates the country, region, or network where a show, episode, or broadcast was first originally aired.
-
E.
originallyAiredOn
Indicates the date or time when a media work (such as a TV episode, radio show, or broadcast) was first publicly aired.
- F. None of above.
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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c4684a08190a55fc69dc271f269 |
completed | June 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.