Triple
T32286306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine and Colette |
E824838
|
entity |
| Predicate | firstTelevisionBroadcastCountry |
P142830
|
FINISHED |
| Object | France |
E861
|
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: France | Statement: [Antoine and Colette, firstTelevisionBroadcastCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTelevisionBroadcastCountry Context triple: [Antoine and Colette, firstTelevisionBroadcastCountry, France]
-
A.
televisionDebutCountry
chosen
Indicates the country in which a person or work first appeared or was broadcast on television.
-
B.
countryOfBroadcast
Indicates the country from which a broadcast is transmitted or officially originates.
-
C.
firstTelevisionBroadcast
Indicates that the subject is the entity responsible for the earliest or inaugural television broadcast of the object.
-
D.
televisionWorkCountry
Indicates the country in which a television-related work (such as a TV show or production) is produced or primarily associated.
-
E.
countryOfFirstProclamation
Indicates the country in which something (typically a declaration, law, or official statement) was first formally proclaimed.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3056f627488190b6740999510b4fd8 |
completed | June 15, 2026, 7:48 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:43 a.m.