Triple
T298941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outnumbered |
E6154
|
entity |
| Predicate | hasRecurringElement |
P10543
|
FINISHED |
| Object | rotating male guest |
—
|
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: rotating male guest | Statement: [Outnumbered, hasRecurringElement, rotating male guest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecurringElement Context triple: [Outnumbered, hasRecurringElement, rotating male guest]
-
A.
tienePeriodicidad
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
-
B.
occursEvery
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
C.
hasSubPeriod
Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
-
D.
hasSubEvent
Indicates that an event is composed of, or includes as part of its structure, another event that occurs within it.
-
E.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea07e3bc8190bae593b3264de211 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.