Triple
T13995830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wordshaker |
E336693
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Denial |
E795020
|
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: Denial | Statement: [Wordshaker, hasPart, Denial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denial Context triple: [Wordshaker, hasPart, Denial]
-
A.
Denial
Denial is a 2016 historical drama film starring Timothy Spall that dramatizes the legal battle between historian Deborah Lipstadt and Holocaust denier David Irving.
-
B.
Denial
chosen
"Denial" is a song featured on the EP *Available Light* by the band Rush.
-
C.
In Denial
"In Denial" is a song by the Pet Shop Boys, featuring Kylie Minogue, known for its reflective lyrics and synth-pop style.
-
D.
Negation
Negation is a fundamental logical and linguistic operation that reverses the truth value or meaning of a statement, turning an assertion into its opposite.
-
E.
State of Denial
State of Denial is a nonfiction book by journalist Bob Woodward that critically examines the Bush administration’s handling of the Iraq War and the broader war on terror.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9d4a54819091c7efbeb4dcc5f7 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.