Triple
T14682834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackwater |
E344830
|
entity |
| Predicate | editingBy |
P1954
|
FINISHED |
| Object |
Oral Norrie Ottey
Oral Norrie Ottey is a film editor known for his work on various feature films and television projects.
|
E1113497
|
NE FINISHED |
How this triple was built (4 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: Oral Norrie Ottey | Statement: [Blackwater, editingBy, Oral Norrie Ottey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oral Norrie Ottey Context triple: [Blackwater, editingBy, Oral Norrie Ottey]
-
A.
Vickery Oates
Vickery Oates is best known as the wife of American character actor Warren Oates.
-
B.
Leslie Hutchinson
Leslie Hutchinson was a celebrated Grenadian-born cabaret singer and pianist who became one of Britain’s most popular and glamorous entertainers in the 1920s and 1930s.
-
C.
Leslie Osborne
Leslie Osborne is a former American professional soccer midfielder and U.S. women’s national team player who starred at Santa Clara University and later became a prominent figure in the NWSL and soccer broadcasting.
-
D.
Leslie Hodgson
Leslie Hodgson is a film editor best known for his work on the 1985 fantasy film "Return to Oz."
-
E.
Wathel Rogers
Wathel Rogers was an American Disney Imagineer and pioneering engineer known for helping develop the first Audio-Animatronics figures for Disney theme park attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oral Norrie Ottey Triple: [Blackwater, editingBy, Oral Norrie Ottey]
Generated description
Oral Norrie Ottey is a film editor known for his work on various feature films and television projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oral Norrie Ottey Target entity description: Oral Norrie Ottey is a film editor known for his work on various feature films and television projects.
-
A.
Vickery Oates
Vickery Oates is best known as the wife of American character actor Warren Oates.
-
B.
Leslie Hutchinson
Leslie Hutchinson was a celebrated Grenadian-born cabaret singer and pianist who became one of Britain’s most popular and glamorous entertainers in the 1920s and 1930s.
-
C.
Leslie Osborne
Leslie Osborne is a former American professional soccer midfielder and U.S. women’s national team player who starred at Santa Clara University and later became a prominent figure in the NWSL and soccer broadcasting.
-
D.
Leslie Hodgson
Leslie Hodgson is a film editor best known for his work on the 1985 fantasy film "Return to Oz."
-
E.
Wathel Rogers
Wathel Rogers was an American Disney Imagineer and pioneering engineer known for helping develop the first Audio-Animatronics figures for Disney theme park attractions.
- F. None of above. chosen
Provenance (5 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56a51ec8190941684fd562a7182 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde182dab08190aac2ff2db666ee69 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde5efec48819098c55c7b4abcc7a5 |
completed | May 8, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde66b1bf881908072a50d43a527f2 |
completed | May 8, 2026, 1:34 p.m. |
Created at: April 10, 2026, 1:28 a.m.