Triple
T13694740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proud Mary |
E328354
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Christian Swegal |
E1106224
|
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: Christian Swegal | Statement: [Proud Mary, storyBy, Christian Swegal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Swegal Context triple: [Proud Mary, storyBy, Christian Swegal]
-
A.
Christian Swegal
chosen
Christian Swegal is a writer best known for his work on the film "Proud Mary."
-
B.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
C.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
D.
Simon Bisschop
Simon Bisschop, better known by the Latinized name Simon Episcopius, was a prominent 17th-century Dutch theologian and leading figure of the Remonstrant (Arminian) movement.
-
E.
Marius de Jonge
Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd9498f8848190a170a3d41c9e3a76 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 9, 2026, 9:54 p.m.