Triple
T4330991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 5 |
E96746
|
entity |
| Predicate | isWordless |
P49712
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Flight 5, isWordless, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWordless Context triple: [Flight 5, isWordless, true]
-
A.
silentWithIntertitles
Indicates that a work is a silent production that conveys dialogue or narrative information through intertitles rather than synchronized spoken sound.
-
B.
isTalkingPicture
Indicates that the subject is a motion picture that includes synchronized recorded sound, especially spoken dialogue.
-
C.
hasNoSpokenDialogue
chosen
Indicates that the referenced entity does not produce any spoken dialogue within the given context or work.
-
D.
hasNoLyrics
Indicates that the referenced musical work or audio track does not contain any sung or spoken lyrics.
-
E.
isLanguageIndependent
Indicates that the relationship, property, or behavior holds true regardless of the specific natural language used to express or encode it.
- F. None of above.
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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.