Triple
T7493304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis Guggenheim |
E177059
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | It Might Get Loud |
E667807
|
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: It Might Get Loud | Statement: [Davis Guggenheim, directed, It Might Get Loud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Might Get Loud Context triple: [Davis Guggenheim, directed, It Might Get Loud]
-
A.
It Might Get Loud
chosen
It Might Get Loud is a 2008 documentary film that explores the electric guitar through the perspectives and personal histories of Jimmy Page, The Edge, and Jack White.
-
B.
Let’s Get Loud
"Let’s Get Loud" is an upbeat Latin pop song by Jennifer Lopez that became one of her signature anthems about empowerment and celebration.
-
C.
A Bigger Bang
A Bigger Bang is a 2005 studio album by English rock band The Rolling Stones, noted for its return to a raw, guitar-driven sound reminiscent of their classic work.
-
D.
Can't Stop
"Can't Stop" is a song featured on the album "The Cookbook," best known as a track by rapper Missy Elliott.
-
E.
More Than This
More Than This is a young adult science fiction novel by Patrick Ness that blends psychological mystery with speculative dystopian elements as it follows a boy who wakes after drowning into a seemingly deserted world.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5784c908190b701959daf082625 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c846043ed48190b6fa45ed0e70b4d3 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:43 p.m.