Triple
T14413434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak (2004 film) |
E357387
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Speak |
E357387
|
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: Speak | Statement: [Speak (2004 film), title, Speak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speak Context triple: [Speak (2004 film), title, Speak]
-
A.
Speak
chosen
"Speak" is a 2004 drama film based on Laurie Halse Anderson's novel, featuring Kristen Stewart as a traumatized teenager who becomes selectively mute after a sexual assault.
-
B.
Speak
"Speak" is a hard rock single by the American band Godsmack, known for its heavy riffs and aggressive vocal style.
-
C.
Talk
"Talk" is a hit R&B/pop single by American singer Khalid, known for its smooth production and introspective lyrics about communication in relationships.
-
D.
Say
Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
-
E.
Spicheren
Spicheren is a commune in northeastern France near the German border, historically notable as the site of a major battle in the Franco-Prussian War.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552858208190ba1550e7c1176a2a |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.