Triple
T28909100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances "Baby" Houseman |
E733167
|
entity |
| Predicate | goesOnVacationTo |
P2694
|
FINISHED |
| Object | Kellerman's resort |
—
|
NE NERFINISHED |
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: Kellerman's resort | Statement: [Frances "Baby" Houseman, goesOnVacationTo, Kellerman's resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goesOnVacationTo Context triple: [Frances "Baby" Houseman, goesOnVacationTo, Kellerman's resort]
-
A.
goesTo
Indicates that one entity moves or travels from its current location to another specified location or entity.
-
B.
hasVacationHomeLocation
Indicates that an entity owns or uses a vacation home that is located in a specified place.
-
C.
hasUseDuringVacation
Indicates that something is intended to be used or is applicable specifically during a vacation period.
-
D.
wentTo
chosen
Indicates that one entity traveled or moved from its original location to another specified place.
-
E.
travelsOn
Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65adcd92481909cbd80dd57623e82 |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:10 a.m.