Triple
T3538049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finn |
E74813
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
FN-2187
FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
|
E367910
|
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: FN-2187 | Statement: [Finn, fullName, FN-2187]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FN-2187 Context triple: [Finn, fullName, FN-2187]
-
A.
Jenefar
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
-
B.
F-2
F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
-
C.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
-
D.
FR-77
FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
-
E.
FR-26
FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
- 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: FN-2187 Triple: [Finn, fullName, FN-2187]
Generated description
FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FN-2187 Target entity description: FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
-
A.
Jenefar
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
-
B.
F-2
F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
-
C.
F82
F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
-
D.
FR-77
FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
-
E.
FR-26
FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc928248190b851f8280d58cfcf |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd4d5f4819095c962f01fc6f7e8 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c5cfb608190b451be14246d5481 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38ce0e1688190a7ee3d079fb83f3d |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.