Triple
T28520255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seeks help for Melinda Moores’s brain tumor |
E721741
|
entity |
| Predicate | hasFilmReleaseYear |
P13249
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Seeks help for Melinda Moores’s brain tumor, hasFilmReleaseYear, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmReleaseYear Context triple: [Seeks help for Melinda Moores’s brain tumor, hasFilmReleaseYear, 1999]
-
A.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
B.
filmReleaseYear
chosen
Indicates the calendar year in which a film was first officially released to the public.
-
C.
videoReleaseYear
Indicates the calendar year in which a video was first released or made publicly available.
-
D.
workReleaseYear
Indicates the calendar year in which a work (such as a book, film, or album) was first released or made publicly available.
-
E.
yearInception
Indicates the year in which something (such as an entity, event, or organization) was first established, created, or began.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 28, 2026, 3:20 a.m.