Triple
T4440663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bible (2013 TV miniseries) |
E95761
|
entity |
| Predicate | firstRunViewership |
P56520
|
FINISHED |
| Object | high ratings on cable 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: high ratings on cable television | Statement: [The Bible (2013 TV miniseries), firstRunViewership, high ratings on cable television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRunViewership Context triple: [The Bible (2013 TV miniseries), firstRunViewership, high ratings on cable television]
-
A.
firstTimeParticipation
Indicates that an entity is taking part in a specified event, activity, or context for the very first time.
-
B.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
C.
firstSessionStart
Indicates the point in time when an entity’s very first session or interaction begins.
-
D.
firstPlayed
Indicates that one entity was the earliest or initial thing (such as a song, game, or media item) that another entity engaged with or played.
-
E.
firstBroadcastTime
Indicates the date and time at which something (typically a program or content) was first broadcast.
- F. None of above. chosen
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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:32 p.m.