Triple
T17908120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence |
E447752
|
entity |
| Predicate | intendedAudienceOfSeries |
P129256
|
FINISHED |
| Object | children |
—
|
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: children | Statement: [Terrence, intendedAudienceOfSeries, children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedAudienceOfSeries Context triple: [Terrence, intendedAudienceOfSeries, children]
-
A.
intendedForSeries
Indicates that something is designed, created, or designated to be used within or as part of a particular series.
-
B.
targetAudienceOfFilms
Indicates the group of people or demographic segment that a particular film is primarily intended or designed to appeal to.
-
C.
seriesMedium
Indicates that a series is presented or distributed through a particular medium or format (such as television, radio, print, or online).
-
D.
languageOfSeries
Indicates the language in which a series is primarily produced, presented, or officially released.
-
E.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.