Triple
T23648033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Wants to Be a Millionaire (U.S. syndicated version) |
E584090
|
entity |
| Predicate | lifelineType |
P153026
|
FINISHED |
| Object | 50:50 |
—
|
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: 50:50 | Statement: [Who Wants to Be a Millionaire (U.S. syndicated version), lifelineType, 50:50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifelineType Context triple: [Who Wants to Be a Millionaire (U.S. syndicated version), lifelineType, 50:50]
-
A.
lifecycleType
Indicates the specific stage or pattern within an entity’s overall lifecycle that characterizes how it begins, evolves, and ends.
-
B.
lifespanType
Indicates the type or category of lifespan associated with an entity, such as whether it is finite, indefinite, or of a particular defined duration.
-
C.
frontlineType
Indicates the specific role or category of a position, unit, or activity that is directly engaged at the primary point of action or conflict.
-
D.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
-
E.
servedByLineType
Indicates that a service, stop, or route is operated or covered by a specific type of transit line.
- F. None of above. chosen
Provenance (4 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b287606881909926de5efd882a76 |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:48 p.m.