Triple
T20383554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dames |
E497900
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Robert Lord |
—
|
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: Robert Lord | Statement: [Dames, storyBy, Robert Lord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Lord Context triple: [Dames, storyBy, Robert Lord]
-
A.
Robert Lord
Robert Lord was a Hollywood film producer active during the mid-20th century, known for his work on notable studio productions.
-
B.
Robert H. Lord
chosen
Robert H. Lord was an American screenwriter and film producer active during the early 20th century, known for his work in Hollywood’s studio era.
-
C.
Giles Healey
Giles Healey was an American photographer and explorer best known for documenting the Maya murals at Bonampak, which brought the site to international attention.
-
D.
Stephen Langdon
Stephen Langdon was an American Assyriologist and archaeologist known for his early 20th-century excavations in Mesopotamia and his contributions to the study of Sumerian texts and ancient Near Eastern history.
-
E.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.