Triple
T32063293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy McNally |
E818803
|
entity |
| Predicate | settingOfHomeCity |
P7747
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Joy McNally, settingOfHomeCity, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfHomeCity Context triple: [Joy McNally, settingOfHomeCity, New York City]
-
A.
homeCityOf
Indicates that a particular city is the primary place of residence or origin for a given person or organization.
-
B.
homeCityInBackstory
Indicates that an entity has a specified city as its home city within its narrative or character backstory.
-
C.
homeCityInStory
Indicates that a specified city serves as a character’s home city within the context of a particular story.
-
D.
settingCity
chosen
Indicates that a work or event takes place in, or is primarily located within, a particular city.
-
E.
hasHomeCity
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 12:22 a.m.