Triple
T34186217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teen Mom OG |
E876966
|
entity |
| Predicate | hasMainCastOrigin |
P89780
|
FINISHED |
| Object | original Teen Mom cast |
—
|
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: original Teen Mom cast | Statement: [Teen Mom OG, hasMainCastOrigin, original Teen Mom cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCastOrigin Context triple: [Teen Mom OG, hasMainCastOrigin, original Teen Mom cast]
-
A.
hasMainStars
Indicates that an entity (such as a film, show, or performance) features the specified entities as its principal or leading performers.
-
B.
originallyCastFrom
Indicates that one entity was the source or original form from which another entity was cast, derived, or transformed.
-
C.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
D.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
E.
hasCast
chosen
Indicates that a creative work features a particular group of performers or actors.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a017969ff908190a7a1a46b3f5ae362 |
completed | May 11, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a017609ff4c8190aba8a1864d39a608 |
completed | May 11, 2026, 6:24 a.m. |
Created at: May 1, 2026, 1:55 a.m.