Triple
T14710289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Hardwicke |
E345529
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Thirteen |
E367468
|
NE 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: Thirteen | Statement: [Catherine Hardwicke, notableWork, Thirteen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thirteen Context triple: [Catherine Hardwicke, notableWork, Thirteen]
-
A.
Thirteen
Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
-
B.
Thirteen
chosen
Thirteen is a 2003 coming-of-age drama film co-written by and starring Nikki Reed that explores the turbulent adolescence of a thirteen-year-old girl.
-
C.
Thirteen
Thirteen is a steel roller coaster at Alton Towers Resort in the UK, known for its surprise vertical drop section and psychological horror theme.
-
D.
Thirteen
Thirteen is a powerful merchant council in the city of Qarth in the "A Song of Ice and Fire" series and its TV adaptation "Game of Thrones."
-
E.
Thirteen
Thirteen is the middle name of Rocky Thirteen Barker, a person whose distinctive name element sets them apart.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08d59b48190a1ddd2aed6ed756e |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.