Triple
T33379471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuben Kincaid |
E854730
|
entity |
| Predicate | firstBroadcastDecadeOfWork |
P59743
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Reuben Kincaid, firstBroadcastDecadeOfWork, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastDecadeOfWork Context triple: [Reuben Kincaid, firstBroadcastDecadeOfWork, 1970s]
-
A.
firstPresentedDecade
Indicates the decade during which something was first presented or introduced.
-
B.
broadcastDebutDecade
chosen
Indicates the decade during which something was first broadcast.
-
C.
firstAppearanceDecade
Indicates the decade in which an entity first appeared or was introduced.
-
D.
inUniverseBroadcastDecade
Indicates the decade within the fictional universe’s timeline during which a broadcast (e.g., a show, event, or transmission) is depicted as occurring.
-
E.
initialDeploymentDecade
Indicates the decade during which something was first deployed or put into initial operational use.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:35 a.m.