Triple
T36135234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life’s Lottery |
E1045146
|
entity |
| Predicate | hasEndingCountApproximate |
P195111
|
FINISHED |
| Object | dozens of distinct endings |
—
|
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: dozens of distinct endings | Statement: [Life’s Lottery, hasEndingCountApproximate, dozens of distinct endings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndingCountApproximate Context triple: [Life’s Lottery, hasEndingCountApproximate, dozens of distinct endings]
-
A.
hasApproximateEnd
Indicates that an entity’s end point, time, or boundary is known only approximately rather than precisely.
-
B.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
C.
hasApproximateEndAge
Indicates that an entity is associated with an estimated or imprecise age at which it ends, ceases, or is no longer applicable.
-
D.
hasApproximateStepCount
Indicates that an entity is associated with an estimated or non-exact number of steps.
-
E.
hasEnd
Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: May 3, 2026, 4:08 p.m.