Triple
T20176699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Strank |
E492118
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Strank
Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
|
E1416663
|
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: Strank | Statement: [Michael Strank, familyName, Strank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strank Context triple: [Michael Strank, familyName, Strank]
-
A.
Straka
Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
-
B.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
C.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
-
D.
Stranorlar
Stranorlar is a small town in County Donegal, Ireland, situated on the River Finn and forming a twin town with nearby Ballybofey.
-
E.
Stram
Stram is the surname of Hank Stram, the Hall of Fame head coach best known for leading the Kansas City Chiefs to victory in Super Bowl IV.
- 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: Strank Triple: [Michael Strank, familyName, Strank]
Generated description
Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strank Target entity description: Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
-
A.
Straka
Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
-
B.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
C.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
-
D.
Stranorlar
Stranorlar is a small town in County Donegal, Ireland, situated on the River Finn and forming a twin town with nearby Ballybofey.
-
E.
Stram
Stram is the surname of Hank Stram, the Hall of Fame head coach best known for leading the Kansas City Chiefs to victory in Super Bowl IV.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668eb50a48190af7de53680ca2f5d |
completed | April 20, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c79d2948190a1df0d3bd1f9c6ad |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d86085c8190a71d0dce65c659a4 |
completed | May 16, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083eb380f48190bda8549d122f830b |
completed | May 16, 2026, 9:53 a.m. |
Created at: April 11, 2026, 11:36 p.m.