Triple
T13787918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KICU-TV |
E331312
|
entity |
| Predicate | originalSignOnDate |
P80378
|
FINISHED |
| Object | October 25, 1961 |
—
|
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: October 25, 1961 | Statement: [KICU-TV, originalSignOnDate, October 25, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSignOnDate Context triple: [KICU-TV, originalSignOnDate, October 25, 1961]
-
A.
signOnDate
chosen
Indicates the date on which an entity formally signs or enters into an agreement, contract, or system.
-
B.
inscriptionDate
Indicates the date on which an inscription was created, carved, or formally recorded.
-
C.
startTimeOfMembershipIn
Indicates the point in time when an entity’s membership in another entity or group begins.
-
D.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the first time.
-
E.
registeredAt
Indicates that an entity has officially enrolled, signed up, or been recorded in a system, organization, or event at a specific place or time.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.