Triple
T9649054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Morros |
E233286
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Morros
Morros is the surname of Boris Morros, a Russian-born American film producer and double agent involved in Cold War espionage.
|
E811790
|
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: Morros | Statement: [Boris Morros, familyName, Morros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morros Context triple: [Boris Morros, familyName, Morros]
-
A.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
B.
Monte
Monte is the costumed grizzly bear mascot who represents the University of Montana at athletic events and campus activities.
-
C.
Monte
Monte was the nickname of Monte Irvin, a Hall of Fame American baseball player renowned as one of the early Black stars to break Major League Baseball’s color barrier.
-
D.
Loma
Loma is a Mande language spoken primarily in Liberia and Guinea, known for its rich oral tradition and complex tonal system.
-
E.
Calico Hills
Calico Hills is a striking expanse of red and cream sandstone formations popular for hiking, rock climbing, and scenic views within Nevada’s Red Rock Canyon area.
- 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: Morros Triple: [Boris Morros, familyName, Morros]
Generated description
Morros is the surname of Boris Morros, a Russian-born American film producer and double agent involved in Cold War espionage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morros Target entity description: Morros is the surname of Boris Morros, a Russian-born American film producer and double agent involved in Cold War espionage.
-
A.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
B.
Monte
Monte is the costumed grizzly bear mascot who represents the University of Montana at athletic events and campus activities.
-
C.
Monte
Monte was the nickname of Monte Irvin, a Hall of Fame American baseball player renowned as one of the early Black stars to break Major League Baseball’s color barrier.
-
D.
Loma
Loma is a Mande language spoken primarily in Liberia and Guinea, known for its rich oral tradition and complex tonal system.
-
E.
Calico Hills
Calico Hills is a striking expanse of red and cream sandstone formations popular for hiking, rock climbing, and scenic views within Nevada’s Red Rock Canyon area.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bac55b48190ab2a8f9bb83c951e |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18262dc50819089cfc17c770a1a90 |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d183452244819080de72fda8e14e67 |
completed | April 4, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d183d506b881909375aadaaa616386 |
completed | April 4, 2026, 9:34 p.m. |
Created at: March 30, 2026, 8:13 p.m.