Triple
T29112715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Micronesia |
E736955
|
entity |
| Predicate | notableQuit |
P79929
|
FINISHED |
| Object | Kathy Sleckman quitting the game |
—
|
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: Kathy Sleckman quitting the game | Statement: [Survivor: Micronesia, notableQuit, Kathy Sleckman quitting the game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuit Context triple: [Survivor: Micronesia, notableQuit, Kathy Sleckman quitting the game]
-
A.
notableDeparture
chosen
Indicates that an entity has left a position, place, or role in a way that is significant or noteworthy.
-
B.
notableRefuser
Indicates that an entity is notably recognized for refusing or declining something, such as an offer, role, request, or participation.
-
C.
notableState
Indicates that an entity is significantly associated with, recognized in, or prominently linked to a particular state (such as a U.S. state or similar regional jurisdiction).
-
D.
notableFinal
Indicates that an entity’s final work, appearance, or event is especially significant or well-known compared to its other endings.
-
E.
notableAbsence
Indicates that something or someone is conspicuously missing from a context where their presence would normally be expected or significant.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a02f847b9848190a9fedbc411ae0918 |
completed | May 12, 2026, 9:52 a.m. |
| PD | Predicate disambiguation | batch_6a02f556860c8190b2995433fa05fdd0 |
completed | May 12, 2026, 9:39 a.m. |
Created at: April 28, 2026, 11:19 a.m.