Triple
T5514821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jezebel |
E144655
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Warren Low |
E280717
|
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: Warren Low | Statement: [Jezebel, editedBy, Warren Low]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Low Context triple: [Jezebel, editedBy, Warren Low]
-
A.
Warren Low
chosen
Warren Low was a Hollywood film editor known for his work on numerous studio productions during the mid-20th century.
-
B.
Herbert R. O'Conor
Herbert R. O'Conor was an American Democratic politician who served as governor of Maryland and later as a U.S. senator in the mid-20th century.
-
C.
Paul W. Airey
Paul W. Airey was a United States Air Force noncommissioned officer who became a pioneering enlisted leader and the inaugural Chief Master Sergeant of the Air Force.
-
D.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
-
E.
Walter Bunning
Walter Bunning was a prominent Australian architect and urban planner known for his influential postwar designs and contributions to modernist architecture in Australia.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cc0735881909b7ea6909570a750 |
completed | March 22, 2026, 8:10 p.m. |
Created at: March 22, 2026, 3:33 p.m.