Triple
T6788659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice for All with Judge Cristina Perez |
E155876
|
entity |
| Predicate | firstRunSyndication |
P56646
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Justice for All with Judge Cristina Perez, firstRunSyndication, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRunSyndication Context triple: [Justice for All with Judge Cristina Perez, firstRunSyndication, true]
-
A.
firstRunViewership
Indicates the number of viewers who watched a program during its initial (first) broadcast or release.
-
B.
firstRunAt
Indicates the date and time at which an entity was first executed, launched, or run.
-
C.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
D.
syndicationStatus
chosen
Indicates the current state or phase of an item’s distribution or licensing for reuse across external channels or platforms.
-
E.
firstBroadcastBy
Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2aa2e0c8190b994261826ae001d |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.