Triple
T9503792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor-class submarine |
E229211
|
entity |
| Predicate | NATOReportingName |
P6062
|
FINISHED |
| Object |
Victor
Victor is the NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
|
E803729
|
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: Victor | Statement: [Victor-class submarine, NATOReportingName, Victor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Context triple: [Victor-class submarine, NATOReportingName, Victor]
-
A.
Victor
Victor is a central character in the TV series "Dollhouse," known as one of the programmable "Actives" whose identity and memories are repeatedly altered for various missions.
-
B.
Victor
Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
-
C.
Victor
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
-
D.
Victor
Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
-
E.
Víctor
Víctor is a given name commonly used in Spanish-speaking countries, derived from the Latin name Victor meaning "winner" or "conqueror."
- 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: Victor Triple: [Victor-class submarine, NATOReportingName, Victor]
Generated description
Victor is the NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victor Target entity description: Victor is the NATO reporting name for a class of Soviet nuclear-powered attack submarines developed during the Cold War.
-
A.
Victor
Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
-
B.
Victor
Victor is a central character in the TV series "Dollhouse," known as one of the programmable "Actives" whose identity and memories are repeatedly altered for various missions.
-
C.
Victor
Victor was a prominent early 20th-century record label known for producing and distributing influential jazz and popular music recordings.
-
D.
Victor
Victor is a character in Gregory Benford’s science fiction novel "Timescape," which explores time communication and ecological catastrophe.
-
E.
Víctor
Víctor is a given name commonly used in Spanish-speaking countries, derived from the Latin name Victor meaning "winner" or "conqueror."
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9840148081908df237f212b62e67 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a17abac8190823cec6b8328bc96 |
completed | April 4, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69d13be79b1c8190a9110312ae25cf32 |
completed | April 4, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13ca165b88190b4d629df0e079b3b |
completed | April 4, 2026, 4:30 p.m. |
Created at: March 30, 2026, 7:57 p.m.