Triple
T11124795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirteen |
E263106
|
entity |
| Predicate | hasTitle |
P38
|
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: [Thirteen, hasTitle, Thirteen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thirteen Context triple: [Thirteen, hasTitle, Thirteen]
-
A.
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.
-
B.
Thirteen
Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
-
C.
Twelve
Twelve is a boutique publishing imprint known for releasing a small number of carefully selected, high-profile nonfiction and literary titles each year.
-
D.
Twelve
"Twelve" is a 2007 cover album by American musician Patti Smith, featuring her interpretations of classic songs by various artists.
-
E.
13 Going on 30
13 Going on 30 is a 2004 romantic comedy fantasy film about a 13-year-old girl who magically wakes up in her 30-year-old body and must navigate adulthood, starring Jennifer Garner.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441d376f8819080effd5bf29c6bc1 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:28 p.m.