Triple
T24872688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darry Curtis |
E622476
|
entity |
| Predicate | lostOpportunity |
P157426
|
FINISHED |
| Object | college scholarship |
—
|
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: college scholarship | Statement: [Darry Curtis, lostOpportunity, college scholarship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostOpportunity Context triple: [Darry Curtis, lostOpportunity, college scholarship]
-
A.
lost
Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
-
B.
lostDuring
Indicates that something ceased to be in possession or was no longer retained while a particular event, process, or time period was occurring.
-
C.
lostWith
Indicates that one entity experienced a loss or defeat in conjunction with, or as part of the same side/team as, another entity.
-
D.
lostStatus
Indicates that an entity has transitioned into a state of being lost, missing, or no longer in its expected or intended possession or location.
-
E.
lostIn
Indicates that an entity has become unable to find its way or is no longer in control or possession within a particular place, situation, or context.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:23 a.m.