Triple
T28103349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumberjack Tavern |
E710294
|
entity |
| Predicate | hasOwnerAtTimeOfCase |
P65073
|
FINISHED |
| Object | Maurice Chenoweth |
—
|
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: Maurice Chenoweth | Statement: [Lumberjack Tavern, hasOwnerAtTimeOfCase, Maurice Chenoweth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnerAtTimeOfCase Context triple: [Lumberjack Tavern, hasOwnerAtTimeOfCase, Maurice Chenoweth]
-
A.
hasOwnerInThePast
Indicates that an entity was owned by another entity at some time in the past, but not necessarily in the present.
-
B.
hasOwnerWhoLaterOwned
Indicates that an entity is owned by someone who, at a later time, also became the owner of another specified entity.
-
C.
propertyOwnerAtTime
Indicates that an entity is the owner of a specified property during a particular time or time interval.
-
D.
ownerAtTimeOfCommission
chosen
Indicates that an entity was the legal owner of another entity at the specific time when a particular act or offense was committed.
-
E.
possiblyOwnedBy
Indicates that an entity may be owned or possessed by another entity, but the ownership is uncertain or not definitively established.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64093968c8190a76fb2261ed9f0a8 |
completed | May 2, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:06 p.m.