Triple
T1105925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Memoriam |
E25486
|
entity |
| Predicate | locationOfFirstBroadcast |
P8095
|
FINISHED |
| Object | United States television |
—
|
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: United States television | Statement: [In Memoriam, locationOfFirstBroadcast, United States television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFirstBroadcast Context triple: [In Memoriam, locationOfFirstBroadcast, United States television]
-
A.
firstTelecastOn
Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
-
B.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
C.
countryOfFirstEvent
chosen
Indicates the country in which the first event in a sequence or series took place.
-
D.
locationOfFirstCommercialUse
Indicates the place where something was first used commercially.
-
E.
firstAiredInMarket
Indicates the date or time when a piece of content was initially broadcast or released in a specific market or region.
- F. None of above.
Provenance (3 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e339f88190afc027216e95d2f7 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.