Triple
T7451330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Steel Tiger |
E172014
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object |
Steel Tiger
Steel Tiger was the codename for a U.S. aerial interdiction campaign during the Vietnam War aimed at disrupting enemy supply routes in Laos.
|
E665139
|
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: Steel Tiger | Statement: [Operation Steel Tiger, codename, Steel Tiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steel Tiger Context triple: [Operation Steel Tiger, codename, Steel Tiger]
-
A.
Old Tige
Old Tige was the nickname of William L. Cabell, a Confederate general who later became a prominent postwar civic leader and mayor of Dallas, Texas.
-
B.
Thunderwolf
Thunderwolf is the athletic mascot of Lakehead University, typically depicted as a fierce wolf symbolizing strength, resilience, and northern spirit.
-
C.
Iron Rattler
Iron Rattler is a renowned hybrid steel-wood roller coaster at Six Flags Fiesta Texas known for its steep drop, smooth ride, and dramatic cliffside setting.
-
D.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
E.
Tiger Black
Tiger Black is a darker, stronger variant of Tiger Beer known for its rich, roasted malt character.
- 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: Steel Tiger Triple: [Operation Steel Tiger, codename, Steel Tiger]
Generated description
Steel Tiger was the codename for a U.S. aerial interdiction campaign during the Vietnam War aimed at disrupting enemy supply routes in Laos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steel Tiger Target entity description: Steel Tiger was the codename for a U.S. aerial interdiction campaign during the Vietnam War aimed at disrupting enemy supply routes in Laos.
-
A.
Old Tige
Old Tige was the nickname of William L. Cabell, a Confederate general who later became a prominent postwar civic leader and mayor of Dallas, Texas.
-
B.
Thunderwolf
Thunderwolf is the athletic mascot of Lakehead University, typically depicted as a fierce wolf symbolizing strength, resilience, and northern spirit.
-
C.
Iron Rattler
Iron Rattler is a renowned hybrid steel-wood roller coaster at Six Flags Fiesta Texas known for its steep drop, smooth ride, and dramatic cliffside setting.
-
D.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
E.
Tiger Black
Tiger Black is a darker, stronger variant of Tiger Beer known for its rich, roasted malt character.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38c28e08190956766a5222fe720 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b54a4881909f800bf37990a297 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828ca24bc81909357b9f40a9004af |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8297c1de4819099acfac611a519e5 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:14 p.m.