Triple
T28146630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Carrie Watts |
E714500
|
entity |
| Predicate | notablePortrayalWork |
P108490
|
FINISHED |
| Object | The Trip to Bountiful (2014 TV film) |
—
|
NE NERFINISHED |
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: The Trip to Bountiful (2014 TV film) | Statement: [Mrs. Carrie Watts, notablePortrayalWork, The Trip to Bountiful (2014 TV film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePortrayalWork Context triple: [Mrs. Carrie Watts, notablePortrayalWork, The Trip to Bountiful (2014 TV film)]
-
A.
notableCharacterPortrayal
Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
-
B.
portraysNotableAct
Indicates that an entity depicts or represents a significant or noteworthy action performed by another entity.
-
C.
notablePortrayalPeriod
Indicates the time period during which a particular portrayal or depiction of something or someone is especially recognized or notable.
-
D.
portrayedByWork
Indicates that a work (such as a film, book, or artwork) depicts, represents, or portrays a particular entity.
-
E.
notableWorkFeaturing
chosen
Indicates that a particular notable work (such as a book, film, or artwork) prominently includes, showcases, or is centered around a given entity.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
Created at: April 27, 2026, 9:57 p.m.