Triple
T36286919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Deighton |
E893112
|
entity |
| Predicate | hasSaloon |
P135293
|
FINISHED |
| Object | Gassy Jack’s saloon |
—
|
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: Gassy Jack’s saloon | Statement: [John Deighton, hasSaloon, Gassy Jack’s saloon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSaloon Context triple: [John Deighton, hasSaloon, Gassy Jack’s saloon]
-
A.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
B.
hasSahn
Indicates that an entity possesses or includes a sahn (a courtyard, typically in traditional Islamic or Middle Eastern architecture).
-
C.
hasTavernOwnershipIn
chosen
Indicates that an entity holds ownership rights over a tavern located in a specified place or context.
-
D.
standardSteelSaloonAvailable
Indicates that a standard steel saloon (sedan) vehicle is available.
-
E.
hasChampagneBar
Indicates that an entity includes, features, or is equipped with a champagne bar.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:09 p.m.