Triple
T20361801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astoria Greengrass |
E496797
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Greengrass |
—
|
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: Greengrass | Statement: [Astoria Greengrass, familyName, Greengrass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greengrass Context triple: [Astoria Greengrass, familyName, Greengrass]
-
A.
Greengrass
chosen
Greengrass is the surname of Paul Greengrass, the British film director known for his work on the Bourne series and realistic, documentary-style thrillers.
-
B.
Seagraves
Seagraves is a surname most notably associated with Eleanor Roosevelt Seagraves, a member of the Roosevelt family lineage.
-
C.
Gavron
Gavron is a surname most notably associated with British actor Rafi Gavron.
-
D.
Harlin
Harlin is a small rural town in Queensland, Australia, situated within the Somerset Region and known for its quiet countryside setting.
-
E.
Gleeson
Gleeson is an Irish surname most prominently associated with acclaimed actor Brendan Gleeson and his family of performers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.