Triple
T9117338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signs |
E218752
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Barbara Tulliver |
E134609
|
NE 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: Barbara Tulliver | Statement: [Signs, editedBy, Barbara Tulliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Tulliver Context triple: [Signs, editedBy, Barbara Tulliver]
-
A.
Barbara Tulliver
chosen
Barbara Tulliver is a film editor best known for her long-standing collaboration with director Paul Thomas Anderson on several of his acclaimed movies.
-
B.
Mary Tuffley
Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
-
C.
Mary Tuffley
Mary Tuffley is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
D.
Linda Radlett
Linda Radlett is the spirited, romantic heroine of Nancy Mitford’s novel "The Pursuit of Love," a young English aristocrat whose search for love leads her through a series of passionate but ill-fated relationships.
-
E.
Ambrosine Phillpotts
Ambrosine Phillpotts was a British character actress known for her numerous supporting roles in mid-20th-century film, theatre, and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a5e2ac8190b602ef0c77deb2fa |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307299ec8190acade4f388642e23 |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.