Triple
T10283316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Merritt |
E241158
|
entity |
| Predicate | roleInLyndhurst |
P93249
|
FINISHED |
| Object | second owner of Lyndhurst Mansion |
—
|
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: second owner of Lyndhurst Mansion | Statement: [George Merritt, roleInLyndhurst, second owner of Lyndhurst Mansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInLyndhurst Context triple: [George Merritt, roleInLyndhurst, second owner of Lyndhurst Mansion]
-
A.
roleInNewJersey
Indicates that an entity holds or held a specific role, position, or function within the state of New Jersey.
-
B.
roleAtStrawberryHill
Indicates that an entity holds or held a specific role or position at Strawberry Hill.
-
C.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
D.
roleAtFredericksburg
Indicates the specific role, position, or function an entity held in relation to the Battle of Fredericksburg.
-
E.
roleAtVirginia
Indicates that an entity holds or held a specific role or position at an institution or organization in Virginia.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:39 a.m.