Triple
T32771681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T |
E838079
|
entity |
| Predicate | seriesFocusesOn |
P81032
|
FINISHED |
| Object | mother-daughter duo attending college |
—
|
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: mother-daughter duo attending college | Statement: [T, seriesFocusesOn, mother-daughter duo attending college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesFocusesOn Context triple: [T, seriesFocusesOn, mother-daughter duo attending college]
-
A.
seriesFocus
Indicates that one entity serves as the primary subject, theme, or focal point of a series created, presented, or organized by another entity.
-
B.
episodeFocusOf
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
C.
notableSeriesFocus
Indicates that a notable series primarily centers on, highlights, or is thematically focused around a particular subject or entity.
-
D.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
E.
seriesSubject
chosen
Indicates that an entity serves as the main subject or focus of a series, such as a sequence of related works or installments.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:13 a.m.