Triple
T1737314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 60 Minutes |
E37947
|
entity |
| Predicate | openingSequenceFeature |
P6832
|
FINISHED |
| Object | ticking stopwatch |
—
|
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: ticking stopwatch | Statement: [60 Minutes, openingSequenceFeature, ticking stopwatch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingSequenceFeature Context triple: [60 Minutes, openingSequenceFeature, ticking stopwatch]
-
A.
openingInvocation
Indicates the act of formally beginning an event, process, or sequence through an initiating statement, action, or call.
-
B.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
C.
openingElement
chosen
Indicates that one entity serves as the initial or starting element within a structured sequence, group, or construct in relation to another.
-
D.
openingLine
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
E.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.